Chao Yu

CoRR, 2024

An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Policy-regularized Offline Multi-objective Reinforcement Learning.

[BibT_eX]

[DOI]

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

2023

Spatiotemporal Relationship Cognitive Learning for Multirobot Air Combat.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., December, 2023

Towards more efficient and robust evaluation of sepsis treatment with deep reinforcement learning.

[BibT_eX]

[DOI]

Qikai Huang

BMC Medical Informatics Decis. Mak., December, 2023

Reinforcement Learning in Healthcare: A Survey.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2023

Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Causal Deep Reinforcement Learning Using Observational Data.

[BibT_eX]

[DOI]

Wenxuan Zhu

Qiang Zhang

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

Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks.

[BibT_eX]

[DOI]

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

Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

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

2022

Multi-Agent Transfer Reinforcement Learning With Multi-View Encoder for Adaptive Traffic Signal Control.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Lifelong reinforcement learning with temporal logic formulas and reward machines.

[BibT_eX]

[DOI]

Xuejing Zheng

Knowl. Based Syst., 2022

Offline reinforcement learning with representations for actions.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

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

A Unified Diversity Measure for Multiagent Reinforcement Learning.

[BibT_eX]

[DOI]

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

Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning.

[BibT_eX]

[DOI]

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

2021

Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines.

[BibT_eX]

[DOI]

CoRR, 2021

Coordinated Proximal Policy Optimization.

[BibT_eX]

[DOI]

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

Combining Model-Based and Model-Free Reinforcement Learning Policies for More Efficient Sepsis Treatment.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics Research and Applications - 17th International Symposium, 2021

2020

Distributed Multiagent Coordinated Learning for Autonomous Driving in Highways Based on Dynamic Coordination Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2020

Supervised-actor-critic reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units.

[BibT_eX]

[DOI]

Guoqi Ren

Yinzhao Dong

BMC Medical Informatics Decis. Mak., 2020

Two-stage Automatic Image Annotation Based on Latent Semantic Scene Classification.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control.

[BibT_eX]

[DOI]

Yinzhao Dong

Hongwei Ge

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

Interactive RL via Online Human Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Decomposed Deep Reinforcement Learning for Robotic Control.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Inverse reinforcement learning for intelligent mechanical ventilation and sedative dosing in intensive care units.

[BibT_eX]

[DOI]

Jiming Liu

Hongyi Zhao

BMC Medical Informatics Decis. Mak., 2019

Incorporating causal factors into reinforcement learning for dynamic treatment regimes in HIV.

[BibT_eX]

[DOI]

BMC Medical Informatics Decis. Mak., 2019

Execution allowance based fixed priority scheduling for probabilistic real-time systems.

[BibT_eX]

[DOI]

J. Syst. Softw., 2019

Reinforcement Learning in Healthcare: A Survey.

[BibT_eX]

[DOI]

Jiming Liu

Shamim Nemati

CoRR, 2019

Adversarial Examples for CNN-Based Malware Detectors.

[BibT_eX]

[DOI]

IEEE Access, 2019

Multi-Grained Cascade AdaBoost Extreme Learning Machine for Feature Representation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

The Price of Governance: A Middle Ground Solution to Coordination in Organizational Control.

[BibT_eX]

[DOI]

Guozhen Tan

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

Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework.

[BibT_eX]

[DOI]

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

Deep Inverse Reinforcement Learning for Sepsis Treatment.

[BibT_eX]

[DOI]

Guoqi Ren

Jiming Liu

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Workload-Aware Harmonic Partitioned Scheduling of Periodic Real-Time Tasks with Constrained Deadlines.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

Reinforcement Learning for Cooperative Overtaking.

[BibT_eX]

[DOI]

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

Coordinated Multiagent Reinforcement Learning for Teams of Mobile Sensing Robots.

[BibT_eX]

[DOI]

Xin Wang

Zhanbo Feng

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

2018

Efficient and Robust Emergence of Norms through Heuristic Collective Learning.

[BibT_eX]

[DOI]

ACM Trans. Auton. Adapt. Syst., 2018

基于被包围状态和马尔可夫模型的显著性检测 (Saliency Detection Based on Surroundedness and Markov Model).

[BibT_eX]

[DOI]

计算机科学, 2018

Learning Shaping Strategies in Human-in-the-loop Interactive Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

A Saliency Map Fusion Method Based on Weighted DS Evidence Theory.

[BibT_eX]

[DOI]

IEEE Access, 2018

Packet Multicast in Cognitive Radio Ad Hoc Networks: A Method Based on Random Network Coding.

[BibT_eX]

[DOI]

IEEE Access, 2018

Adaptively Shaping Reinforcement Learning Agents via Human Reward.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Decentralized Multiagent Reinforcement Learning for Efficient Robotic Control by Coordination Graphs.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

2017

Fair Transmission Rate Adjustment in Cooperative Vehicle Safety Systems Based on Multi-Agent Model Predictive Control.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2017

An Efficient and QoS Supported Multichannel MAC Protocol for Vehicular Ad Hoc Networks.

[BibT_eX]

[DOI]

Caixia Song

Guozhen Tan

Sensors, 2017

APDM: An adaptive multi-priority distributed multichannel MAC protocol for vehicular ad hoc networks in unsaturated conditions.

[BibT_eX]

[DOI]

Comput. Commun., 2017

Neural learning for the emergence of social norms in multiagent systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Agents, 2017

2016

Dynamic Feedback Power Control for Cooperative Vehicle Safety Systems.

[BibT_eX]

[DOI]

Wirel. Pers. Commun., 2016

Model Reference Adaptive Power Control for Cooperative Vehicle Safety Systems.

[BibT_eX]

[DOI]

J. Inf. Sci. Eng., 2016

Fair Channel Access in Cooperative Vehicle Safety Systems.

[BibT_eX]

[DOI]

J. Inf. Sci. Eng., 2016

Adaptive Learning for Efficient Emergence of Social Norms in Networked Multiagent Systems.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Accelerating Norm Emergence Through Hierarchical Heuristic Learning.

[BibT_eX]

[DOI]

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

An Adaptive Learning Framework for Efficient Emergence of Social Norms: (Extended Abstract).

[BibT_eX]

[DOI]

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

2015

Emotional Multiagent Reinforcement Learning in Spatial Social Dilemmas.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Multiagent Learning of Coordination in Loosely Coupled Multiagent Systems.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Hierarchical Learning for Emergence of Social Norms in Networked Multiagent Systems.

[BibT_eX]

[DOI]

Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

A Multi-Agent Approach for Decentralized Voltage Regulation by Considering Distributed Generators.

[BibT_eX]

[DOI]

Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Heuristic Collective Learning for Efficient and Robust Emergence of Social Norms.

[BibT_eX]

[DOI]

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

2014

Collective Learning for the Emergence of Social Norms in Networked Multiagent Systems.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Coordinated learning by exploiting sparse interaction in multiagent systems.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2014

2013

An Adaptive Bilateral Negotiation Model Based on Bayesian Learning.

[BibT_eX]

[DOI]

Proceedings of the Complex Automated Negotiations: Theories, 2013

Emotional Multiagent Reinforcement Learning in Social Dilemmas.

[BibT_eX]

[DOI]

Proceedings of the PRIMA 2013: Principles and Practice of Multi-Agent Systems, 2013

Emergence of social norms through collective learning in networked agent societies.

[BibT_eX]

[DOI]

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

2012

Exploiting Independent Relationships in Multiagent Systems for Coordinated Learning.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

2011

Coordinated Learning for Loosely Coupled Agents with Sparse Interactions.

[BibT_eX]

[DOI]