Fei Fang

Orcid: 0000-0003-2256-8329

Affiliations:
  • Carnegie Mellon University, Pittsburgh, PA, USA


According to our database1, Fei Fang authored at least 140 papers between 2012 and 2024.

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Bibliography

2024
Explainable Reinforcement Learning: A Survey and Comparative Review.
ACM Comput. Surv., July, 2024

Cooperative Strategic Planning Enhances Reasoning Capabilities in Large Language Models.
CoRR, 2024

CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy.
CoRR, 2024

TypedThinker: Typed Thinking Improves Large Language Model Reasoning.
CoRR, 2024

Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels.
CoRR, 2024

Multi-Agent Imitation Learning: Value is Easy, Regret is Hard.
CoRR, 2024

Global Rewards in Restless Multi-Armed Bandits.
CoRR, 2024

Safe Multi-agent Reinforcement Learning with Natural Language Constraints.
CoRR, 2024

PATIENT-Ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals.
CoRR, 2024

Missing Pieces: How Framing Uncertainty Impacts Longitudinal Trust in AI Decision Aids - A Gig Driver Case Study.
CoRR, 2024

On the Detection of Reviewer-Author Collusion Rings From Paper Bidding.
CoRR, 2024

An extensive study of security games with strategic informants.
Artif. Intell., 2024

Predicting and Presenting Task Difficulty for Crowdsourcing Food Rescue Platforms.
Proceedings of the ACM on Web Conference 2024, 2024

Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

PATIENT-ψ: Using Large Language Models to Simulate Patients for Training Mental Health Professionals.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

MABL: Bi-Level Latent-Variable World Model for Sample-Efficient Multi-Agent Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Learning Coalition Structures with Games.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Where It Really Matters: Few-Shot Environmental Conservation Media Monitoring for Low-Resource Languages.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment.
CoRR, 2023

Testing for Reviewer Anchoring in Peer Review: A Randomized Controlled Trial.
CoRR, 2023

Bi-level Latent Variable Model for Sample-Efficient Multi-Agent Reinforcement Learning.
CoRR, 2023

A Dataset on Malicious Paper Bidding in Peer Review.
Proceedings of the ACM Web Conference 2023, 2023

Purpose in the Machine: Do Traffic Simulators Produce Distributionally Equivalent Outcomes for Reinforcement Learning Applications?
Proceedings of the Winter Simulation Conference, 2023

Harvester: Principled Factorization-based Temporal Tensor Granularity Estimation.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

A One-Size-Fits-All Approach to Improving Randomness in Paper Assignment.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Explainable Action Advising for Multi-Agent Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Multi-defender Security Games with Schedules.
Proceedings of the Decision and Game Theory for Security: 14th International Conference, 2023

Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

NewsPanda: Media Monitoring for Timely Conservation Action.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Cooperative Communication Between Two Transiently Powered Sensor Nodes by Reinforcement Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Spatio-Temporal Pricing for Ridesharing Platforms.
Oper. Res., 2022

Tradeoffs in Preventing Manipulation in Paper Bidding for Reviewer Assignment.
CoRR, 2022

PerfectDou: Dominating DouDizhu with Perfect Information Distillation.
CoRR, 2022

A Survey of Explainable Reinforcement Learning.
CoRR, 2022

MAVIPER: Learning Decision Tree Policies for Interpretable Multi-agent Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

PerfectDou: Dominating DouDizhu with Perfect Information Distillation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Inverse Game Theory for Stackelberg Games: the Blessing of Bounded Rationality.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Ranked Prioritization of Groups in Combinatorial Bandit Allocation.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality.
Proceedings of the Twelfth International Workshop on Agents in Traffic and Transportation co-located with the the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Near-Optimal Reviewer Splitting in Two-Phase Paper Reviewing and Conference Experiment Design.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Bandit Data-Driven Optimization for Crowdsourcing Food Rescue Platforms.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Safe Subgame Resolving for Extensive Form Correlated Equilibrium.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Efficiency, Fairness, and Stability in Non-Commercial Peer-to-Peer Ridesharing.
CoRR, 2021

AGNT SI: agents and multiagent systems for social good.
Auton. Agents Multi Agent Syst., 2021

A Recommender System for Crowdsourcing Food Rescue Platforms.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Fighting the Fog: Evaluating the Clarity of Privacy Disclosures in the Age of CCPA.
Proceedings of the WPES '21: Proceedings of the 20th Workshop on Workshop on Privacy in the Electronic Society, 2021

Robust reinforcement learning under minimax regret for green security.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Temporal Induced Self-Play for Stochastic Bayesian Games.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization.
Proceedings of the 9th International Conference on Learning Representations, 2021

Poster: Pallet Estimation for Food Bank Logistics Management.
Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning.
Proceedings of the Distributed Artificial Intelligence - Third International Conference, 2021

Game Theoretic Models for Cyber Deception.
Proceedings of the MTD@CCS 2021: Proceedings of the 8th ACM Workshop on Moving Target Defense, 2021

Dual-Mandate Patrols: Multi-Armed Bandits for Green Security.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Data-Driven Multimodal Patrol Planning for Anti-poaching.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Bandit Data-driven Optimization: AI for Social Good and Beyond.
CoRR, 2020

Artificial Intelligence for Social Good: A Survey.
CoRR, 2020

AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline.
CoRR, 2020

Artificial Intelligence for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline.
AI Mag., 2020

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

Mitigating Manipulation in Peer Review via Randomized Reviewer Assignments.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

When to Follow the Tip: Security Games with Strategic Informants.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Learning and Planning in the Feature Deception Problem.
Proceedings of the Decision and Game Theory for Security - 11th International Conference, 2020

Harnessing the Power of Deception in Attack Graph-Based Security Games.
Proceedings of the Decision and Game Theory for Security - 11th International Conference, 2020

Green Security Game with Community Engagement.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Improving Efficiency of Volunteer-Based Food Rescue Operations.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Draining the Water Hole: Mitigating Social Engineering Attacks with CyberTWEAK.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Game Theoretic Cyber Deception to Foil Adversarial Network Reconnaissance.
Proceedings of the Adaptive Autonomous Secure Cyber Systems., 2020

2019
Signal Instructed Coordination in Team Competition.
CoRR, 2019

Learning and Planning in Feature Deception Games.
CoRR, 2019

Artificial Intelligence for Social Good.
CoRR, 2019

Towards Thwarting Social Engineering Attacks.
CoRR, 2019

Computational sustainability: computing for a better world and a sustainable future.
Commun. ACM, 2019

Dynamic Trip-Vehicle Dispatch with Scheduled and On-Demand Requests.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game.
Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Modeling observability in adaptive systems to defend against advanced persistent threats.
Proceedings of the 17th ACM-IEEE International Conference on Formal Methods and Models for System Design, 2019

Integrating Learning with Game Theory for Societal Challenges.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Cyber Camouflage Games for Strategic Deception.
Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

DeepFP for Finding Nash Equilibrium in Continuous Action Spaces.
Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

Cooperative communication between two transiently powered sensors by reinforcement learning: work-in-progress.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019

Deep Fictitious Play for Games with Continuous Action Spaces.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Optimal Trip-Vehicle Dispatch with Multi-Type Requests.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Using Game Theory in Real Time in the Real World: A Conservation Case Study.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Deep Reinforcement Learning for Green Security Games with Real-Time Information.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Robust Multi-Agent Reinforcement Learning via Minimax Deep Deterministic Policy Gradient.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

On the Inducibility of Stackelberg Equilibrium for Security Games.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting.
CoRR, 2018

Exploiting Data and Human Knowledge for Predicting Wildlife Poaching.
CoRR, 2018

Stackelberg Security Games: Looking Beyond a Decade of Success.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Designing the Game to Play: Optimizing Payoff Structure in Security Games.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Exploiting Data and Human Knowledge for Predicting Wildlife Poaching.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs.
Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable Societies, 2018

Deceiving Cyber Adversaries: A Game Theoretic Approach.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Inducible Equilibrium for Security Games.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Deep Reinforcement Learning for Green Security Game with Online Information.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Policy Learning for Continuous Space Security Games Using Neural Networks.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Predicting poaching for wildlife Protection.
IBM J. Res. Dev., 2017

Video Labeling for Automatic Video Surveillance in Security Domains.
CoRR, 2017

Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences.
AI Mag., 2017

PAWS - A Deployed Game-Theoretic Application to Combat Poaching.
AI Mag., 2017

Reports on the 2017 AAAI Spring Symposium Series.
AI Mag., 2017

Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Optimal Patrol Planning for Green Security Games with Black-Box Attackers.
Proceedings of the Decision and Game Theory for Security - 8th International Conference, 2017

VIOLA: Video Labeling Application for Security Domains.
Proceedings of the Decision and Game Theory for Security - 8th International Conference, 2017

Optimizing Peer Teaching to Enhance Team Performance.
Proceedings of the Autonomous Agents and Multiagent Systems, 2017

Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016
Green security games: apply game theory to addressing green security challenges.
SIGecom Exch., 2016

Comparing human behavior models in repeated Stackelberg security games: An extended study.
Artif. Intell., 2016

Three Strategies to Success: Learning Adversary Models in Security Games.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Combining Graph Contraction and Strategy Generation for Green Security Games.
Proceedings of the Decision and Game Theory for Security - 7th International Conference, 2016

Abstraction Methods for Solving Graph-Based Security Games.
Proceedings of the Autonomous Agents and Multiagent Systems - AAMAS 2016 Workshops, - Visionary Papers, 2016

From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration).
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Reports on the 2015 AAAI Spring Symposium Series.
AI Mag., 2015

When Security Games Go Green: Designing Defender Strategies to Prevent Poaching and Illegal Fishing.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

"A Game of Thrones": When Human Behavior Models Compete in Repeated Stackelberg Security Games.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Defender Strategies In Domains Involving Frequent Adversary Interaction.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Effectiveness of Probability Perception Modeling and Defender Strategy Generation Algorithms in Repeated Stackelberg Games: An Initial Report.
Proceedings of the Computational Sustainability, 2015

2014
Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Robust Protection of Fisheries with COmPASS.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Protecting Moving Targets with Multiple Mobile Resources.
J. Artif. Intell. Res., 2013

Optimal patrol strategy for protecting moving targets with multiple mobile resources.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
Designing better strategies against human adversaries in network security games.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Challenges in Patrolling to Maximize Pristine Forest Area (Position Paper).
Proceedings of the Game Theory for Security, 2012

Patrol Strategies to Maximize Pristine Forest Area.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012


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