Chongjie Zhang

CoRR, 2023

Towards Robust Offline Reinforcement Learning under Diverse Data Corruption.

[BibT_eX]

[DOI]

CoRR, 2023

Imitation Learning from Observation with Automatic Discount Scheduling.

[BibT_eX]

[DOI]

CoRR, 2023

Never Explore Repeatedly in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse.

[BibT_eX]

[DOI]

CoRR, 2023

What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?

[BibT_eX]

[DOI]

CoRR, 2023

The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey on Transformers in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Conservative Offline Policy Adaptation in Multi-Agent Games.

[BibT_eX]

[DOI]

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

Unsupervised Behavior Extraction via Random Intent Priors.

[BibT_eX]

[DOI]

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

Learning to Solve Tasks with Exploring Prior Behaviours.

[BibT_eX]

[DOI]

IROS, 2023

What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Offline Meta Reinforcement Learning with In-Distribution Online Adaptation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Symmetry-Aware Robot Design with Structured Subgroups.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery.

[BibT_eX]

[DOI]

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

2022

Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Global Optimality in Cooperative MARL with Sequential Transformation.

[BibT_eX]

[DOI]

CoRR, 2022

Latent-Variable Advantage-Weighted Policy Optimization for Offline RL.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Agent Policy Transfer via Task Relationship Modeling.

[BibT_eX]

[DOI]

CoRR, 2022

MOORe: Model-based Offline-to-Online Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

RORL: Robust Offline Reinforcement Learning via Conservative Smoothing.

[BibT_eX]

[DOI]

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

Safe Opponent-Exploitation Subgame Refinement.

[BibT_eX]

[DOI]

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

Non-Linear Coordination Graphs.

[BibT_eX]

[DOI]

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

Low-Rank Modular Reinforcement Learning via Muscle Synergy.

[BibT_eX]

[DOI]

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

LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

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

CUP: Critic-Guided Policy Reuse.

[BibT_eX]

[DOI]

Jin Zhang

Siyuan Li

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

Multi-Agent Concentrative Coordination with Decentralized Task Representation.

[BibT_eX]

[DOI]

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

Self-Organized Polynomial-Time Coordination Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Individual Reward Assisted Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

On the Role of Discount Factor in Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Offline Reinforcement Learning with Value-based Episodic Memory.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Active Hierarchical Exploration with Stable Subgoal Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Context-Aware Sparse Deep Coordination Graphs.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Multi-Agent Incentive Communication via Decentralized Teammate Modeling.

[BibT_eX]

[DOI]

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

2021

Containerized Distributed Value-Based Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates.

[BibT_eX]

[DOI]

CoRR, 2021

Efficient Hierarchical Exploration with Stable Subgoal Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL.

[BibT_eX]

[DOI]

CoRR, 2021

Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration.

[BibT_eX]

[DOI]

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

Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization.

[BibT_eX]

[DOI]

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

Offline Reinforcement Learning with Reverse Model-based Imagination.

[BibT_eX]

[DOI]

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

On the Estimation Bias in Double Q-Learning.

[BibT_eX]

[DOI]

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

Model-Based Reinforcement Learning via Imagination with Derived Memory.

[BibT_eX]

[DOI]

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

Celebrating Diversity in Shared Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

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

Reward-Constrained Behavior Cloning.

[BibT_eX]

[DOI]

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

MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration.

[BibT_eX]

[DOI]

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

Generalizable Episodic Memory for Deep Reinforcement Learning.

[BibT_eX]

[DOI]

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

QPLEX: Duplex Dueling Multi-Agent Q-Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

DOP: Off-Policy Multi-Agent Decomposed Policy Gradients.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning Subgoal Representations with Slow Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

RODE: Learning Roles to Decompose Multi-Agent Tasks.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Off-Policy Multi-Agent Decomposed Policy Gradients.

[BibT_eX]

[DOI]

CoRR, 2020

SOAC: The Soft Option Actor-Critic Architecture.

[BibT_eX]

[DOI]

CoRR, 2020

Learn to Effectively Explore in Context-Based Meta-RL.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning.

[BibT_eX]

[DOI]

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

ROMA: Multi-Agent Reinforcement Learning with Emergent Roles.

[BibT_eX]

[DOI]

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

Episodic Reinforcement Learning with Associative Memory.

[BibT_eX]

[DOI]

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

Learning Nearly Decomposable Value Functions Via Communication Minimization.

[BibT_eX]

[DOI]

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

Influence-Based Multi-Agent Exploration.

[BibT_eX]

[DOI]

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

Modeling Trust Dynamics in Human-robot Teaming: A Bayesian Inference Approach.

[BibT_eX]

[DOI]

Yaohui Guo

X. Jessie Yang

Proceedings of the Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

Object-Oriented Dynamics Learning through Multi-Level Abstraction.

[BibT_eX]

[DOI]

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

2019

Object-Oriented Dynamics Learning through Multi-Level Abstraction.

[BibT_eX]

[DOI]

CoRR, 2019

Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards.

[BibT_eX]

[DOI]

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

Towards Efficient Detection and Optimal Response against Sophisticated Opponents.

[BibT_eX]

[DOI]

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

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.

[BibT_eX]

[DOI]

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

Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games.

[BibT_eX]

[DOI]

Xinliang Song

Tonghan Wang

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

Context-Aware Policy Reuse.

[BibT_eX]

[DOI]

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

2018

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents.

[BibT_eX]

[DOI]

CoRR, 2018

Object-Oriented Dynamics Predictor.

[BibT_eX]

[DOI]

Guangxiang Zhu

CoRR, 2018

Object-Oriented Dynamics Predictor.

[BibT_eX]

[DOI]

Guangxiang Zhu

Zhiao Huang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

An Optimal Online Method of Selecting Source Policies for Reinforcement Learning.

[BibT_eX]

[DOI]

Siyuan Li

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

2017

Perturbation Training for Human-Robot Teams.

[BibT_eX]

[DOI]

Ramya Ramakrishnan

J. Artif. Intell. Res., 2017

Context-Based Concurrent Experience Sharing in Multiagent Systems.

[BibT_eX]

[DOI]

Daniel Garant

Bruno Castro da Silva

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

2016

Co-optimizing task and motion planning.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Co-Optimizating Multi-Agent Placement with Task Assignment and Scheduling.

[BibT_eX]

[DOI]

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

2015

On Fairness in Decision-Making under Uncertainty: Definitions, Computation, and Comparison.

[BibT_eX]

[DOI]

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

2014

Fairness in Multi-Agent Sequential Decision-Making.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs.

[BibT_eX]

[DOI]

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

2013

Combining Dynamic Reward Shaping and Action Shaping for Coordinating Multi-agent Learning.

[BibT_eX]

[DOI]

Xiangbin Zhu

Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2013

Coordinating multi-agent reinforcement learning with limited communication.

[BibT_eX]

[DOI]

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

Biasing the behavior of organizationally adept agents: (extended abstract).

[BibT_eX]

[DOI]

Daniel D. Corkill

Bruno Castro da Silva

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

2012

An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2012

2011

Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs.

[BibT_eX]

[DOI]

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

2010

Self-organization for coordinating decentralized reinforcement learning.

[BibT_eX]

[DOI]

Sherief Abdallah

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

Multi-Agent Learning with Policy Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

A Multi-Agent Learning Approach to Online Distributed Resource Allocation.

[BibT_eX]

[DOI]

Prashant J. Shenoy

Proceedings of the IJCAI 2009, 2009

An Ensemble Learning and Problem Solving Architecture for Airspace Management.

[BibT_eX]

[DOI]

Proceedings of the Twenty-First Conference on Innovative Applications of Artificial Intelligence, 2009

Integrating organizational control into multi-agent learning.

[BibT_eX]

[DOI]

Sherief Abdallah

Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2008

Efficient multi-agent reinforcement learning through automated supervision.

[BibT_eX]

[DOI]

Sherief Abdallah

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

2007

Grid portal solutions: a comparison of GridPortlets and OGCE.

[BibT_eX]

[DOI]