Chongjie Zhang

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 112

Top Venues

CoRR

NeurIPS

ICLR

ICML

Publications

Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik
Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning. CoRR (2024)
Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang
IOB: integrating optimization transfer and behavior transfer for multi-policy reuse. Auton. Agents Multi Agent Syst. 38 (1) (2024)
Hao Hu, Yiqin Yang, Jianing Ye, Ziqing Mai, Chongjie Zhang
Unsupervised Behavior Extraction via Random Intent Priors. CoRR (2023)
Yuyang Liu, Weijun Dong, Yingdong Hu, Chuan Wen, Zhao-Heng Yin, Chongjie Zhang, Yang Gao
Imitation Learning from Observation with Automatic Discount Scheduling. CoRR (2023)
Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. AAAI (2023)
Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation. CoRR (2023)
Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang
Symmetry-Aware Robot Design with Structured Subgroups. ICML (2023)
Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
A Survey on Transformers in Reinforcement Learning. CoRR (2023)
Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Çeliktutan
Learning to Solve Tasks with Exploring Prior Behaviours. CoRR (2023)
Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation. ICML (2023)
Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption. CoRR (2023)
Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang
The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning. ICLR (2023)
Hao Hu, Yiqin Yang, Jianing Ye, Ziqing Mai, Chongjie Zhang
Unsupervised Behavior Extraction via Random Intent Priors. NeurIPS (2023)
Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang
The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning. CoRR (2023)
Chenghao Li, Tonghan Wang, Chongjie Zhang, Qianchuan Zhao
Never Explore Repeatedly in Multi-Agent Reinforcement Learning. CoRR (2023)
Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang
Symmetry-Aware Robot Design with Structured Subgroups. CoRR (2023)
Rui Yang, Lin Yong, Xiaoteng Ma, Hao Hu, Chongjie Zhang, Tong Zhang
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? ICML (2023)
Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse. CoRR (2023)
Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Çeliktutan
Learning to Solve Tasks with Exploring Prior Behaviours. IROS (2023)
Heng Dong, Junyu Zhang, Chongjie Zhang
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design. CoRR (2023)
Chengjie Wu, Pingzhong Tang, Jun Yang, Yujing Hu, Tangjie Lv, Changjie Fan, Chongjie Zhang
Conservative Offline Policy Adaptation in Multi-Agent Games. NeurIPS (2023)
Rui Yang, Yong Lin, Xiaoteng Ma, Hao Hu, Chongjie Zhang, Tong Zhang
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? CoRR (2023)
Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. NeurIPS (2022)
Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang
On the Role of Discount Factor in Offline Reinforcement Learning. ICML (2022)
Jin Zhang, Siyuan Li, Chongjie Zhang
CUP: Critic-Guided Policy Reuse. NeurIPS (2022)
Rongjun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Zongzhang Zhang, Chongjie Zhang, Yang Yu
Multi-Agent Policy Transfer via Task Relationship Modeling. CoRR (2022)
Xiaoran Wu, Zihan Yan, Chongjie Zhang, Tongshuang Wu
Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System. CoRR (2022)
Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang
Context-Aware Sparse Deep Coordination Graphs. ICLR (2022)
Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang
Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. CoRR (2022)
Yipeng Kang, Tonghan Wang, Xiaoran Wu, Qianlan Yang, Chongjie Zhang
Non-Linear Coordination Graphs. CoRR (2022)
Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Jianhao Wang, Alex Yuan Gao, Wenzhe Li, Liang Bin, Chelsea Finn, Chongjie Zhang
LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning. NeurIPS (2022)
Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. CoRR (2022)
Xiaoteng Ma, Yiqin Yang, Hao Hu, Jun Yang, Chongjie Zhang, Qianchuan Zhao, Bin Liang, Qihan Liu
Offline Reinforcement Learning with Value-based Episodic Memory. ICLR (2022)
Mingyang Liu, Chengjie Wu, Qihan Liu, Yansen Jing, Jun Yang, Pingzhong Tang, Chongjie Zhang
Safe Opponent-Exploitation Subgame Refinement. NeurIPS (2022)
Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu, Chongjie Zhang
Multi-Agent Incentive Communication via Decentralized Teammate Modeling. AAAI (2022)
Siyuan Li, Jin Zhang, Jianhao Wang, Yang Yu, Chongjie Zhang
Active Hierarchical Exploration with Stable Subgoal Representation Learning. ICLR (2022)
Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
Low-Rank Modular Reinforcement Learning via Muscle Synergy. NeurIPS (2022)
Jianing Ye, Chenghao Li, Jianhao Wang, Chongjie Zhang
Towards Global Optimality in Cooperative MARL with Sequential Transformation. CoRR (2022)
Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang
Self-Organized Polynomial-Time Coordination Graphs. ICML (2022)
Yihuan Mao, Chao Wang, Bin Wang, Chongjie Zhang
MOORe: Model-based Offline-to-Online Reinforcement Learning. CoRR (2022)
Jin Zhang, Siyuan Li, Chongjie Zhang
CUP: Critic-Guided Policy Reuse. CoRR (2022)
Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan
Individual Reward Assisted Multi-Agent Reinforcement Learning. ICML (2022)
Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang
On the Role of Discount Factor in Offline Reinforcement Learning. CoRR (2022)
Yipeng Kang, Tonghan Wang, Qianlan Yang, Xiaoran Wu, Chongjie Zhang
Non-Linear Coordination Graphs. NeurIPS (2022)
Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Yuan Gao, Jianhao Wang, Wenzhe Li, Bin Liang, Chelsea Finn, Chongjie Zhang
Latent-Variable Advantage-Weighted Policy Optimization for Offline RL. CoRR (2022)
Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Zongzhang Zhang, Chongjie Zhang, Yang Yu
Multi-Agent Concentrative Coordination with Decentralized Task Representation. IJCAI (2022)
Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
Low-Rank Modular Reinforcement Learning via Muscle Synergy. CoRR (2022)
Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang
Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL. CoRR (2022)
Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang
Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL. ICLR (2022)
Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
RODE: Learning Roles to Decompose Multi-Agent Tasks. ICLR (2021)
Hao Hu, Jianing Ye, Guangxiang Zhu, Zhizhou Ren, Chongjie Zhang
Generalizable Episodic Memory for Deep Reinforcement Learning. ICML (2021)
Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration. CoRR (2021)
Siyuan Li, Lulu Zheng, Jianhao Wang, Chongjie Zhang
Learning Subgoal Representations with Slow Dynamics. ICLR (2021)
Chenghao Li, Chengjie Wu, Tonghan Wang, Jun Yang, Qianchuan Zhao, Chongjie Zhang
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning. CoRR (2021)
Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang
Self-Organized Polynomial-Time Coordination Graphs. CoRR (2021)
Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang
Offline Reinforcement Learning with Reverse Model-based Imagination. NeurIPS (2021)
Hao Hu, Jianing Ye, Zhizhou Ren, Guangxiang Zhu, Chongjie Zhang
Generalizable Episodic Memory for Deep Reinforcement Learning. CoRR (2021)
Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang
On the Estimation Bias in Double Q-Learning. NeurIPS (2021)
Jianhao Wang, Zhizhou Ren, Beining Han, Jianing Ye, Chongjie Zhang
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization. NeurIPS (2021)
Xiaoteng Ma, Yiqin Yang, Hao Hu, Qihan Liu, Jun Yang, Chongjie Zhang, Qianchuan Zhao, Bin Liang
Offline Reinforcement Learning with Value-based Episodic Memory. CoRR (2021)
Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang
Reward-Constrained Behavior Cloning. IJCAI (2021)
Siyuan Li, Jin Zhang, Jianhao Wang, Chongjie Zhang
Efficient Hierarchical Exploration with Stable Subgoal Representation Learning. CoRR (2021)
Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang
Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration. NeurIPS (2021)
Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang
DOP: Off-Policy Multi-Agent Decomposed Policy Gradients. ICLR (2021)
Jiahan Cao, Lei Yuan, Jianhao Wang, Shaowei Zhang, Chongjie Zhang, Yang Yu, De-Chuan Zhan
LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates. CoRR (2021)
Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang
On the Estimation Bias in Double Q-Learning. CoRR (2021)
Siyang Wu, Tonghan Wang, Chenghao Li, Chongjie Zhang
Containerized Distributed Value-Based Multi-Agent Reinforcement Learning. CoRR (2021)
Jin Zhang, Jianhao Wang, Hao Hu, Tong Chen, Yingfeng Chen, Changjie Fan, Chongjie Zhang
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration. ICML (2021)
Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang
QPLEX: Duplex Dueling Multi-Agent Q-Learning. ICLR (2021)
Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL. CoRR (2021)
Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao
Model-Based Reinforcement Learning via Imagination with Derived Memory. NeurIPS (2021)
Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang
Offline Reinforcement Learning with Reverse Model-based Imagination. CoRR (2021)
Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang
Context-Aware Sparse Deep Coordination Graphs. CoRR (2021)
Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang
Celebrating Diversity in Shared Multi-Agent Reinforcement Learning. NeurIPS (2021)
Hangtian Jia, Yujing Hu, Yingfeng Chen, Chunxu Ren, Tangjie Lv, Changjie Fan, Chongjie Zhang
Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning. CoRR (2020)
Jianhao Wang, Zhizhou Ren, Beining Han, Chongjie Zhang
Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning. CoRR (2020)
Guangxiang Zhu, Zichuan Lin, Guangwen Yang, Chongjie Zhang
Episodic Reinforcement Learning with Associative Memory. ICLR (2020)
Chenghao Li, Xiaoteng Ma, Chongjie Zhang, Jun Yang, Li Xia, Qianchuan Zhao
SOAC: The Soft Option Actor-Critic Architecture. CoRR (2020)
Tonghan Wang, Heng Dong, Victor R. Lesser, Chongjie Zhang
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles. CoRR (2020)
Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
RODE: Learning Roles to Decompose Multi-Agent Tasks. CoRR (2020)
Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang
Object-Oriented Dynamics Learning through Multi-Level Abstraction. AAAI (2020)
Guangxiang Zhu, Minghao Zhang, Honglak Lee, Chongjie Zhang
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning. CoRR (2020)
Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang
QPLEX: Duplex Dueling Multi-Agent Q-Learning. CoRR (2020)
Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang
Influence-Based Multi-Agent Exploration. ICLR (2020)
Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang
Learning Nearly Decomposable Value Functions Via Communication Minimization. ICLR (2020)
Jin Zhang, Jianhao Wang, Hao Hu, Yingfeng Chen, Changjie Fan, Chongjie Zhang
Learn to Effectively Explore in Context-Based Meta-RL. CoRR (2020)
Guangxiang Zhu, Minghao Zhang, Honglak Lee, Chongjie Zhang
Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning. NeurIPS (2020)
Tonghan Wang, Heng Dong, Victor R. Lesser, Chongjie Zhang
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles. ICML (2020)
Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang
Off-Policy Multi-Agent Decomposed Policy Gradients. CoRR (2020)
Yaohui Guo, Chongjie Zhang, X. Jessie Yang
Modeling Trust Dynamics in Human-robot Teaming: A Bayesian Inference Approach. CHI Extended Abstracts (2020)
Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Chongjie Zhang
Object-Oriented Dynamics Learning through Multi-Level Abstraction. CoRR (2019)
Xinliang Song, Tonghan Wang, Chongjie Zhang
Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games. AAMAS (2019)
Xinliang Song, Tonghan Wang, Chongjie Zhang
Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games. CoRR (2019)
Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. CoRR (2019)
Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang
Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. NeurIPS (2019)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Yan Zheng, Chongjie Zhang, Ze Zheng
Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. AAMAS (2019)
Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang
Context-Aware Policy Reuse. AAMAS (2019)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng
Towards Efficient Detection and Optimal Response against Sophisticated Opponents. IJCAI (2019)
Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang
Influence-Based Multi-Agent Exploration. CoRR (2019)
Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang
Learning Nearly Decomposable Value Functions Via Communication Minimization. CoRR (2019)

Chongjie Zhang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chongjie Zhang