Bo An

Daniel Dajun Zeng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Consistent Multi-Class Classification from Multiple Unlabeled Datasets.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

S2AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving Unsupervised Hierarchical Representation With Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Grasper: A Generalist Pursuer for Pursuit-Evasion Problems.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Mitigating Underfitting in Learning to Defer with Consistent Losses.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Consistent Hierarchical Classification with A Generalized Metric.

[BibT_eX]

[DOI]

Yuzhou Cao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Deep Learning From Multiple Noisy Annotators as A Union.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Multiple-Instance Learning From Unlabeled Bags With Pairwise Similarity.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Classifying ambiguous identities in hidden-role Stochastic games with multi-agent reinforcement learning.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., October, 2023

Multi-agent dueling Q-learning with mean field and value decomposition.

[BibT_eX]

[DOI]

Pattern Recognit., July, 2023

PRUDEX-Compass: Towards Systematic Evaluation of Reinforcement Learning in Financial Markets.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Reinforcement Learning for Quantitative Trading.

[BibT_eX]

[DOI]

Shuo Sun

ACM Trans. Intell. Syst. Technol., 2023

Effective Interpretable Policy Distillation via Critical Experience Point Identification.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2023

AdaRec: Adaptive Sequential Recommendation for Reinforcing Long-term User Engagement.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient Last-iterate Convergence Algorithms in Solving Games.

[BibT_eX]

[DOI]

CoRR, 2023

Synapse: Leveraging Few-Shot Exemplars for Human-Level Computer Control.

[BibT_eX]

[DOI]

Longtao Zheng

CoRR, 2023

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

State Regularized Policy Optimization on Data with Dynamics Shift.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Importance of Feature Separability in Predicting Out-Of-Distribution Error.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Offline RL with Discrete Proxy Representations for Generalizability in POMDPs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Few-shot Generation via Recalling Brain-Inspired Episodic-Semantic Memory.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Regression with Cost-based Rejection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Computing Optimal Nash Equilibria in Multiplayer Games.

[BibT_eX]

[DOI]

Venkatramanan Siva Subrahmanian

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Complex Contagion Influence Maximization: A Reinforcement Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Mitigating Memorization of Noisy Labels by Clipping the Model Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Weakly Supervised Regression with Interval Targets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Population-size-Aware Policy Optimization for Mean-Field Games.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Structural Credit Assignment-Guided Coordinated MCTS: An Efficient and Scalable Method for Online Multiagent Planning.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Off-Beat Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

A Learning Approach to Complex Contagion Influence Maximization.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Finding Optimal Nash Equilibria in Multiplayer Games via Correlation Plans.

[BibT_eX]

[DOI]

V. S. Subrahmanian

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Consistent Complementary-Label Learning via Order-Preserving Losses.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Solving Large-Scale Pursuit-Evasion Games Using Pre-trained Strategies.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Partial-Label Regression.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Batch Crowdsourcing for Complex Tasks Based on Distributed Team Formation in E-Markets.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2022

SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Regularized Matrix Factorization for Multilabel Learning With Missing Labels.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities.

[BibT_eX]

[DOI]

Shuo Sun

IEEE Intell. Syst., 2022

Logit Clipping for Robust Learning against Label Noise.

[BibT_eX]

[DOI]

CoRR, 2022

PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement.

[BibT_eX]

[DOI]

CoRR, 2022

RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning Approach.

[BibT_eX]

[DOI]

Shuo Sun

CoRR, 2022

Offline Equilibrium Finding.

[BibT_eX]

[DOI]

CoRR, 2022

ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor.

[BibT_eX]

[DOI]

CoRR, 2022

A Unified Perspective on Deep Equilibrium Finding.

[BibT_eX]

[DOI]

CoRR, 2022

DeepScalper: A Risk-Aware Deep Reinforcement Learning Framework for Intraday Trading with Micro-level Market Embedding.

[BibT_eX]

[DOI]

CoRR, 2022

Quantal Correlated Equilibrium in Normal Form Games.

[BibT_eX]

[DOI]

Jakub Cerný

Allan N. Zhang

Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Alleviating "Posterior Collapse" in Deep Topic Models via Policy Gradient.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalizing Consistent Multi-Class Classification with Rejection to be Compatible with Arbitrary Losses.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

L2E: Learning to Exploit Your Opponent.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games.

[BibT_eX]

[DOI]

V. S. Subrahmanian

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Mitigating Neural Network Overconfidence with Logit Normalization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Learning Pseudometric-based Action Representations for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Online Ad Hoc Teamwork under Partial Observability.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Flexi Partner Selection Model for the Emergence of Cooperation in N-person Social Dilemmas.

[BibT_eX]

[DOI]

Tu Gu

Proceedings of the Distributed Artificial Intelligence - 4th International Conference, 2022

DO-GAN: A Double Oracle Framework for Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-Faceted Hierarchical Multi-Task Learning for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Online Collective Multiagent Planning by Offline Policy Reuse with Applications to City-Scale Mobility-on-Demand Systems.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search.

[BibT_eX]

[DOI]

Wanqi Xue

Chai Kiat Yeo

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Pretrained Cost Model for Distributed Constraint Optimization Problems.

[BibT_eX]

[DOI]

Yanchen Deng

Shufeng Kong

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Group-Oriented Task Allocation for Crowdsourcing in Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2021

Toward Efficient City-Scale Patrol Planning Using Decomposition and Grafting.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Embedding-Augmented Generalized Matrix Factorization for Recommendation With Implicit Feedback.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2021

Orientational variable-length strip covering problem: A branch-and-price-based algorithm.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2021

Cooperation, Retaliation and Forgiveness in Revision Games.

[BibT_eX]

[DOI]

CoRR, 2021

Multi-Class Classification from Single-Class Data with Confidences.

[BibT_eX]

[DOI]

CoRR, 2021

On the Robustness of Average Losses for Partial-Label Learning.

[BibT_eX]

[DOI]

CoRR, 2021

L2E: Learning to Exploit Your Opponent.

[BibT_eX]

[DOI]

CoRR, 2021

Electric vehicle charging strategy study and the application on charging station placement.

[BibT_eX]

[DOI]

Yanhai Xiong

Sarit Kraus

Auton. Agents Multi Agent Syst., 2021

Utility distribution matters: enabling fast belief propagation for multi-agent optimization with dense local utility function.

[BibT_eX]

[DOI]

Yanchen Deng

Auton. Agents Multi Agent Syst., 2021

Contingency-aware influence maximization: A reinforcement learning approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multiple-Instance Learning from Similar and Dissimilar Bags.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Solving Large-Scale Extensive-Form Network Security Games via Neural Fictitious Self-Play.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Neural Regret-Matching for Distributed Constraint Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Pointwise Binary Classification with Pairwise Confidence Comparisons.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning from Similarity-Confidence Data.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Personalized Adaptive Meta Learning for Cold-start User Preference Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Computing Quantal Stackelberg Equilibrium in Extensive-Form Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games.

[BibT_eX]

[DOI]

Jakub Cerný

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Context-Aware Reliable Crowdsourcing in Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2020

Randomized Security Patrolling for Link Flooding Attack Detection.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2020

Optimal Spot-Checking for Improving the Evaluation Quality of Crowdsourcing: Application to Peer Grading Systems.

[BibT_eX]

[DOI]

Wanyuan Wang

Yichuan Jiang

IEEE Trans. Comput. Soc. Syst., 2020

MetaInfoNet: Learning Task-Guided Information for Sample Reweighting.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Reservoir Management through Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Xinrun Wang

Tarun Nair

Haoyang Li

Yuh Sheng Reuben Wong

Nachiket Kelkar

Srinivas Vaidyanathan

CoRR, 2020

Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Behaviors with Uncertain Human Feedback.

[BibT_eX]

[DOI]

Xu He

Haipeng Chen

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Finite State Machines Play Extensive-Form Games.

[BibT_eX]

[DOI]

Jakub Cerný

Branislav Bosanský

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation.

[BibT_eX]

[DOI]

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Provably Consistent Partial-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Can Cross Entropy Loss Be Robust to Label Noise?

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities.

[BibT_eX]

[DOI]

Yanchen Deng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Efficient Multi-agent Communication: An Information Bottleneck Approach.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning with Multiple Complementary Labels.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Expensive Coordination: An Event-Based Deep RL Approach.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

User detection of threats with different security measures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

Context-Aware Multi-agent Coordination with Loose Couplings and Repeated Interaction.

[BibT_eX]

[DOI]

Feifei Lin

Xu He

Proceedings of the Distributed Artificial Intelligence - Second International Conference, 2020

Battery Management for Automated Warehouses via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Distributed Artificial Intelligence - Second International Conference, 2020

Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Conference on Automated Planning and Scheduling, 2020

Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Batch Allocation for Tasks with Overlapping Skill Requirements in Crowdsourcing.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2019

Strategic Social Team Crowdsourcing: Forming a Team of Truthful Workers for Crowdsourcing in Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2019

Competitive Cloud Pricing for Long-Term Revenue Maximization.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2019

Protecting internet infrastructure against link flooding attacks: A techno-economic perspective.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Learning from Multiple Complementary Labels.

[BibT_eX]

[DOI]

CoRR, 2019

Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

A branch and price algorithm for EOS constellation imaging and downloading integrated scheduling problem.

[BibT_eX]

[DOI]

Comput. Oper. Res., 2019

Securing the Deep Fraud Detector in Large-Scale E-Commerce Platform via Adversarial Machine Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Social Cost Guarantees in Smart Route Guidance.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Manipulating a Learning Defender and Ways to Counteract.

[BibT_eX]

[DOI]

Michael J. Wooldridge

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Who Should Pay the Cost: A Game-theoretic Model for Government Subsidized Investments to Improve National Cybersecurity.

[BibT_eX]

[DOI]

Xinrun Wang

Hau Chan

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks.

[BibT_eX]

[DOI]

Wei Qiu

Haipeng Chen

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Partial Label Learning by Semantic Difference Maximization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Choosing Protection: User Investments in Security Measures for Cyber Risk Management.

[BibT_eX]

[DOI]

Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games.

[BibT_eX]

[DOI]

Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

Efficient City-Scale Patrolling Using Decomposition and Grafting.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Competitive Bridge Bidding with Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Memetic Approach for Sequential Security Games on a Plane with Moving Targets.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

On the Inducibility of Stackelberg Equilibrium for Security Games.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Collaboration Based Multi-Label Learning.

[BibT_eX]

[DOI]

Shuo He

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Partial Label Learning with Self-Guided Retraining.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2018

ACM TIST Special Issue on Urban Intelligence.

[BibT_eX]

[DOI]

Nicholas R. Jennings

Zhenhui Jessie Li

ACM Trans. Intell. Syst. Technol., 2018

Understanding Crowdsourcing Systems from a Multiagent Perspective and Approach.

[BibT_eX]

[DOI]

ACM Trans. Auton. Adapt. Syst., 2018

Active learning with confidence-based answers for crowdsourcing labeling tasks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Camera Placement Based on Vehicle Traffic for Better City Security Surveillance.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2018

Optimal defense against election control by deleting voter groups.

[BibT_eX]

[DOI]

Artif. Intell., 2018

Predicting Human Decision-Making: From Prediction to Action, Ariel Rosenfeld, Sarit Kraus. Morgan & Claypool Publishers (2018).

[BibT_eX]

[DOI]

Artif. Intell., 2018

Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Stackelberg Security Games: Looking Beyond a Decade of Success.

[BibT_eX]

[DOI]

Arunesh Sinha

Fei Fang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Leveraging Latent Label Distributions for Partial Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Inducible Equilibrium for Security Games.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Data Poisoning Attacks on Multi-Task Relationship Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

HogRider: Champion Agent of Microsoft Malmo Collaborative AI Challenge.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Catching Captain Jack: Efficient Time and Space Dependent Patrols to Combat Oil-Siphoning in International Waters.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Optimal Spot-Checking for Improving Evaluation Accuracy of Peer Grading Systems.

[BibT_eX]

[DOI]

Wanyuan Wang

Yichuan Jiang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Dynamic Pricing for Reusable Resources in Competitive Market With Stochastic Demand.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

DyETC: Dynamic Electronic Toll Collection for Traffic Congestion Alleviation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Data-Driven Frequency-Based Airline Profit Maximization.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2017

Toward Efficient Team Formation for Crowdsourcing in Noncooperative Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Workload Factoring and Resource Sharing via Joint Vertical and Horizontal Cloud Federation Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2017

Measuring the social influences of scientist groups based on multiple types of collaboration relations.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2017

Game-Theoretic Considerations for Optimizing Taxi System Efficiency.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2017

Vehicle Traffic Driven Camera Placement for Better Metropolis Security Surveillance.

[BibT_eX]

[DOI]

CoRR, 2017

Artificial Intelligence Research in Singapore: Assisting the Development of a Smart Nation.

[BibT_eX]

[DOI]

AI Mag., 2017

PAWS - A Deployed Game-Theoretic Application to Combat Poaching.

[BibT_eX]

[DOI]

Gopalasamy R. Clements

AI Mag., 2017

Human-computer negotiation in a three player market setting.

[BibT_eX]

[DOI]

Artif. Intell., 2017

Efficient Label Contamination Attacks Against Black-Box Learning Models.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Optimal Escape Interdiction on Transportation Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Defending Against Man-In-The-Middle Attack in Repeated Games.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Playing Repeated Network Interdiction Games with Semi-Bandit Feedback.

[BibT_eX]

[DOI]

Long Tran-Thanh

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Comparing Strategic Secrecy and Stackelberg Commitment in Security Games.

[BibT_eX]

[DOI]

Branislav Bosanský

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Game Theoretic Analysis of Security and Sustainability.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Nash Equilibrium and Decentralized Pricing for QoS Aware Service Composition in Cloud Computing Environments.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Stop Nuclear Smuggling Through Efficient Container Inspection.

[BibT_eX]

[DOI]

Xinrun Wang

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Pricing Optimization for Selling Reusable Resources.

[BibT_eX]

[DOI]

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Revenue Maximization for Finitely Repeated Ad Auctions.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Strategic Information Revelation and Commitment in Security Games.

[BibT_eX]

[DOI]

Branislav Bosanský

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Security Games on a Plane.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

POI2Vec: Geographical Latent Representation for Predicting Future Visitors.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Recent advances in Support Vector Machines.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Alternating-offers bargaining in one-to-many and many-to-many settings.

[BibT_eX]

[DOI]

Ann. Math. Artif. Intell., 2016

A simulation framework for measuring robustness of incentive mechanisms and its implementation in reputation systems.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., 2016

MAP: Frequency-Based Maximization of Airline Profits based on an Ensemble Forecasting Approach.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Optimally Protecting Elections.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Efficient Resource Allocation for Protecting Coral Reef Ecosystems.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Optimal Interdiction of Illegal Network Flow.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Modeling Bounded Rationality for Sponsored Search Auctions.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Optimal Pricing for Efficient Electric Vehicle Charging Station Management.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Measuring the Distance Between Finite Markov Decision Processes.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Optimal Sample Size for Adword Auctions: (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Coalitional Security Games.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Optimizing Personalized Email Filtering Thresholds to Mitigate Sequential Spear Phishing Attacks.

[BibT_eX]

[DOI]

Mengchen Zhao

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Efficient Average Reward Reinforcement Learning Using Constant Shifting Values.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Computing Optimal Monitoring Strategy for Detecting Terrorist Plots.

[BibT_eX]

[DOI]

Zhen Wang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security.

[BibT_eX]

[DOI]

Gopalasamy R. Clements

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration).

[BibT_eX]

[DOI]

Gopalasamy R. Clements

Amandeep Singh

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Accelerating Multiagent Reinforcement Learning by Equilibrium Transfer.

[BibT_eX]

[DOI]

Yujing Hu

Yang Gao

IEEE Trans. Cybern., 2015

Multiagent Reinforcement Learning With Unshared Value Functions.

[BibT_eX]

[DOI]

Yujing Hu

Yang Gao

IEEE Trans. Cybern., 2015

Computing Optimal Mixed Strategies for Security Games with Dynamic Payoffs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Optimal Electric Vehicle Charging Station Placement.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Learning Personality Modeling for Regulating Learning Feedback.

[BibT_eX]

[DOI]

Matthias Chan Yong Shun

Miao-Chun Yan

Zhiqi Shen

Proceedings of the 15th IEEE International Conference on Advanced Learning Technologies, 2015

Modeling Learner's Emotions with PAD.

[BibT_eX]

[DOI]

Matthias Chan Yong Shun

Miao-Chun Yan

Cyril Leung

Proceedings of the 15th IEEE International Conference on Advanced Learning Technologies, 2015

Computing Quantal Response Equilibrium for Sponsored Search Auctions.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Learning in Multi-agent Systems with Sparse Interactions by Knowledge Transfer and Game Abstraction.

[BibT_eX]

[DOI]

Yujing Hu

Yang Gao

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Optimizing Efficiency of Taxi Systems: Scaling-up and Handling Arbitrary Constraints.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Security Games with Protection Externalities.

[BibT_eX]

[DOI]

Yevgeniy Vorobeychik

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Game Theoretic Considerations for Optimizing Efficiency of Taxi Systems.

[BibT_eX]

[DOI]

Proceedings of the Computational Sustainability, 2015

2014

Filtering trust opinions through reinforcement learning.

[BibT_eX]

[DOI]

Decis. Support Syst., 2014

An extended study on multi-objective security games.

[BibT_eX]

[DOI]

Matthew Brown

Fernando Ordóñez

Auton. Agents Multi Agent Syst., 2014

A New Paradigm for the Study of Corruption in Different Cultures.

[BibT_eX]

[DOI]

Proceedings of the Social Computing, Behavioral-Cultural Modeling and Prediction, 2014

Human-Computer Negotiation in Three-Player Market Settings.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Reputation-aware task allocation for human trustees.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Dynamic allocation of security resources for protecting public events.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Modeling curiosity for virtual learning companions.

[BibT_eX]

[DOI]

Qiong Wu

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

A practical robustness measure of incentive mechanisms.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

An efficient algorithm for taxi system optimization.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Computing Solutions in Infinite-Horizon Discounted Adversarial Patrolling Games.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

Game-Theoretic Resource Allocation for Protecting Large Public Events.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Security Games Applied to Real-World: Research Contributions and Challenges.

[BibT_eX]

[DOI]

Proceedings of the Moving Target Defense II, 2013

A Deployed Quantal Response-Based Patrol Planning System for the U.S. Coast Guard.

[BibT_eX]

[DOI]

Interfaces, 2013

Bilateral bargaining with one-sided uncertain reserve prices.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., 2013

A Reputation Management Approach for Resource Constrained Trustee Agents.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

Optimal Pricing for Improving Efficiency of Taxi Systems.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

A reputation-aware decision-making approach for improving the efficiency of crowdsourcing systems.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Security games with surveillance cost and optimal timing of attack execution.

[BibT_eX]

[DOI]

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012

Yushu: A Heuristic-Based Agent for Automated Negotiating Competition.

[BibT_eX]

[DOI]

Proceedings of the New Trends in Agent-Based Complex Automated Negotiations, 2012

An Overview of Recent Application Trends at the AAMAS Conference: Security, Sustainability and Safety.

[BibT_eX]

[DOI]

AI Mag., 2012

PROTECT - A Deployed Game Theoretic System for Strategic Security Allocation for the United States Coast Guard.

[BibT_eX]

[DOI]

AI Mag., 2012

Reports of the AAAI 2012 Spring Symposia.

[BibT_eX]

[DOI]

George Dimitri Konidaris

AI Mag., 2012

An Adaptive Witness Selection Method for Reputation-Based Trust Models.

[BibT_eX]

[DOI]

Han Yu

Zhiqi Shen

Proceedings of the PRIMA 2012: Principles and Practice of Multi-Agent Systems, 2012

Challenges and Opportunities for Trust Management in Crowdsourcing.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

Adversarial patrolling games.

[BibT_eX]

[DOI]

Yevgeniy Vorobeychik

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

PROTECT: a deployed game theoretic system to protect the ports of the United States.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Multi-objective optimization for security games.

[BibT_eX]

[DOI]

Matthew Brown

Fernando Ordóñez

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Game Theory for Security: A Real-World Challenge Problem for Multiagent Systems and Beyond.

[BibT_eX]

[DOI]

Proceedings of the Game Theory for Security, 2012

Getting Started on a Real-World Challenge Problem in Computational Game Theory and Beyond.

[BibT_eX]

[DOI]

Proceedings of the AI, 2012

Security Games with Limited Surveillance: An Initial Report.

[BibT_eX]

[DOI]

David Kempe

Proceedings of the Game Theory for Security, 2012

PROTECT: An Application of Computational Game Theory for the Security of the Ports of the United States.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Security Games with Limited Surveillance.

[BibT_eX]

[DOI]

David Kempe

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

GUARDS and PROTECT: next generation applications of security games.

[BibT_eX]

[DOI]

Janusz Marecki

SIGecom Exch., 2011

Strategic agents for multi-resource negotiation.

[BibT_eX]

[DOI]

Auton. Agents Multi Agent Syst., 2011

Game Theory for Security: An Important Challenge for Multiagent Systems.

[BibT_eX]

[DOI]

Proceedings of the Multi-Agent Systems - 9th European Workshop, 2011

Agent-mediated multi-step optimization for resource allocation in distributed sensor networks.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Negotiation over decommitment penalty.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Mixed-Initiative Optimization in Security Games: A Preliminary Report.

[BibT_eX]

[DOI]

Proceedings of the Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, 2011

Refinement of Strong Stackelberg Equilibria in Security Games.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Characterizing Contract-Based Multiagent Resource Allocation in Networks.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2010

Multi-Agent Asynchronous Negotiation Based on Time-Delay.

[BibT_eX]

[DOI]

Lianggui Tang

Proceedings of the Life System Modeling and Intelligent Computing, 2010

Automated negotiation with decommitment for dynamic resource allocation in cloud computing.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

Searching for pure strategy equilibria in bilateral bargaining with one-sided uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

2009

Evolving Best-Response Strategies for Market-Driven Agents Using Aggregative Fitness GA.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part C, 2009

Extending Alternating-Offers Bargaining in One-to-Many and Many-to-Many Settings.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2009

Bilateral Bargaining with One-Sided Two-Type Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2009

2008

Decommitment in multi-resource negotiation.

[BibT_eX]

[DOI]

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

Heuristics for negotiation schedules in multi-plan optimization.

[BibT_eX]

[DOI]

Fred Douglis

Fan Ye

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007

Algorithms for Transitive Dependence-Based Coalition Formation.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2007

An Agent Reinforcement Learning Model Based on Neural Networks.

[BibT_eX]

[DOI]

Lianggui Tang

Daijie Cheng

Proceedings of the Bio-Inspired Computational Intelligence and Applications, 2007

Market Based Resource Allocation with Incomplete Information.

[BibT_eX]

[DOI]

Zhiqi Shen

Proceedings of the IJCAI 2007, 2007

An Application of Automated Negotiation to Distributed Task Allocation.

[BibT_eX]

[DOI]

Michael Krainin

Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007

Evolving the best-response strategy to decide when to make a proposal.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Continuous-Time Negotiation Mechanism for Software Agents.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2006

Fuzzy cognitive maps for dynamic grid service negotiation.

[BibT_eX]

[DOI]

Multiagent Grid Syst., 2006

2005

A Coalition Formation Framework Based on Transitive Dependence.

[BibT_eX]

[DOI]