Chongjie Zhang

165 papers A* 66A 11C 2Journal 78Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-robot behavior adaptation through intention alignment. Sci. Robotics Xi Chen, Yuan Gao, Hangxin Liu, Fangkai Yang, Ali Ghadirzadeh, Jun Yang, Bin Liang, Chongjie Zhang, Tin Lun Lam, Song-Chun Zhu
2025	J	`jnl`	Celebrating Diversity With Subtask Specialization in Shared Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang
2025	A*	`conf`	EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models. EMNLP Han Liu, Ruoyao Wen, Srijith Nair, Jia Liu, Wenjing Lou, Chongjie Zhang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang
2025	J	`jnl`	EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models. CoRR Han Liu, Ruoyao Wen, Srijith Nair, Jia Liu, Wenjing Lou, Chongjie Zhang, William Yeoh, Yevgeniy Vorobeychik, Ning Zhang
2025	A*	`conf`	Enhancing Decision-Making of Large Language Models via Actor-Critic. ICML Heng Dong, Kefei Duan, Chongjie Zhang
2025	J	`jnl`	Enhancing Decision-Making of Large Language Models via Actor-Critic. CoRR Heng Dong, Kefei Duan, Chongjie Zhang
2025	A*	`conf`	Episodic Novelty Through Temporal Distance. ICLR Yuhua Jiang, Qihan Liu, Yiqin Yang, Xiaoteng Ma, Dianyu Zhong, Hao Hu, Jun Yang, Bin Liang, Bo Xu, Chongjie Zhang, Qianchuan Zhao
2025	J	`jnl`	Episodic Novelty Through Temporal Distance. CoRR Yuhua Jiang, Qihan Liu, Yiqin Yang, Xiaoteng Ma, Dianyu Zhong, Hao Hu, Jun Yang, Bin Liang, Bo Xu, Chongjie Zhang, Qianchuan Zhao
2025	A*	`conf`	Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset. ICLR Yiqin Yang, Quanwei Wang, Chenghao Li, Hao Hu, Chengjie Wu, Yuhua Jiang, Dianyu Zhong, Ziyou Zhang, Qianchuan Zhao, Chongjie Zhang, Bo Xu
2025	J	`jnl`	Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset. CoRR Yiqin Yang, Quanwei Wang, Chenghao Li, Hao Hu, Chengjie Wu, Yuhua Jiang, Dianyu Zhong, Ziyou Zhang, Qianchuan Zhao, Chongjie Zhang, Xu Bo
2025	A	`conf`	IBGP: Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative Multi-Agent Systems. AAMAS Yihuan Mao, Yipeng Kang, Peilun Li, Ning Zhang, Wei Xu, Chongjie Zhang
2025	—	`conf`	IBGP: Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative Multi-agent Systems. AGI (1) Yihuan Mao, Yipeng Kang, Peilun Li, Wei Xu, Chongjie Zhang
2025	A*	`conf`	Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks. ICML Luise Ge, Michael Lanier, Anindya Sarkar, Bengisu Guresti, Chongjie Zhang, Yevgeniy Vorobeychik
2025	J	`jnl`	Learning Policy Committees for Effective Personalization in MDPs with Diverse Tasks. CoRR Luise Ge, Michael Lanier, Anindya Sarkar, Bengisu Guresti, Yevgeniy Vorobeychik, Chongjie Zhang
2025	J	`jnl`	Learning Recommender Mechanisms for Bayesian Stochastic Games. CoRR Bengisu Guresti, Chongjie Zhang, Yevgeniy Vorobeychik
2025	A*	`conf`	Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving. ICLR Jin Zhang, Flood Sung, Zhilin Yang, Yang Gao, Chongjie Zhang
2025	J	`jnl`	Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving. CoRR Jin Zhang, Flood Sung, Zhilin Yang, Yang Gao, Chongjie Zhang
2025	J	`jnl`	Revisiting Multi-Agent World Modeling from a Diffusion-Inspired Perspective. CoRR Yang Zhang, Xinran Li, Jianing Ye, Delin Qu, Shuang Qiu, Chongjie Zhang, Xiu Li, Chenjia Bai
2025	J	`jnl`	Translating Flow to Policy via Hindsight Online Imitation. CoRR Yitian Zheng, Zhangchen Ye, Weijun Dong, Shengjie Wang, Yuyang Liu, Chongjie Zhang, Chuan Wen, Yang Gao
2024	A*	`conf`	Bayesian Design Principles for Offline-to-Online Reinforcement Learning. ICML Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang
2024	J	`jnl`	Bayesian Design Principles for Offline-to-Online Reinforcement Learning. CoRR Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang
2024	A*	`conf`	Efficient Multi-agent Reinforcement Learning by Planning. ICLR Qihan Liu, Jianing Ye, Xiaoteng Ma, Jun Yang, Bin Liang, Chongjie Zhang
2024	J	`jnl`	Efficient Multi-agent Reinforcement Learning by Planning. CoRR Qihan Liu, Jianing Ye, Xiaoteng Ma, Jun Yang, Bin Liang, Chongjie Zhang
2024	A*	`conf`	GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. NeurIPS Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik
2024	J	`jnl`	GOMAA-Geo: GOal Modality Agnostic Active Geo-localization. CoRR Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs, Yevgeniy Vorobeychik
2024	J	`jnl`	IBGP: Imperfect Byzantine Generals Problem for Zero-Shot Robustness in Communicative Multi-Agent Systems. CoRR Yihuan Mao, Yipeng Kang, Peilun Li, Ning Zhang, Wei Xu, Chongjie Zhang
2024	J	`jnl`	IOB: integrating optimization transfer and behavior transfer for multi-policy reuse. Auton. Agents Multi Agent Syst. Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang
2024	A*	`conf`	Imitation Learning from Observation with Automatic Discount Scheduling. ICLR Yuyang Liu, Weijun Dong, Yingdong Hu, Chuan Wen, Zhao-Heng Yin, Chongjie Zhang, Yang Gao
2024	C	`conf`	Learning Interpretable Policies in Hindsight-Observable POMDPs Through Partially Supervised Reinforcement Learning. ICMLA Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik
2024	J	`jnl`	Learning Interpretable Policies in Hindsight-Observable POMDPs through Partially Supervised Reinforcement Learning. CoRR Michael Lanier, Ying Xu, Nathan Jacobs, Chongjie Zhang, Yevgeniy Vorobeychik
2024	A*	`conf`	Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design. ICLR Heng Dong, Junyu Zhang, Chongjie Zhang
2024	J	`jnl`	Multi-agent policy transfer via task relationship modeling. Sci. China Inf. Sci. Rongjun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Yipeng Kang, Zongzhang Zhang, Chongjie Zhang, Yang Yu
2024	A*	`conf`	Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners. ICML Chengjie Wu, Hao Hu, Yiqin Yang, Ning Zhang, Chongjie Zhang
2024	A*	`conf`	STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations. IJCAI Chao Li, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan, Wenbin Li, Chongjie Zhang, Yang Gao
2024	A*	`conf`	Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets. ICLR Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang
2024	A*	`conf`	Towards Robust Offline Reinforcement Learning under Diverse Data Corruption. ICLR Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang
2023	J	`jnl`	A Survey on Transformers in Reinforcement Learning. CoRR Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
2023	J	`jnl`	A Survey on Transformers in Reinforcement Learning. Trans. Mach. Learn. Res. Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye
2023	A*	`conf`	Conservative Offline Policy Adaptation in Multi-Agent Games. NeurIPS Chengjie Wu, Pingzhong Tang, Jun Yang, Yujing Hu, Tangjie Lv, Changjie Fan, Chongjie Zhang
2023	A*	`conf`	Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. AAAI Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang
2023	J	`jnl`	IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse. CoRR Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang
2023	J	`jnl`	Imitation Learning from Observation with Automatic Discount Scheduling. CoRR Yuyang Liu, Weijun Dong, Yingdong Hu, Chuan Wen, Zhao-Heng Yin, Chongjie Zhang, Yang Gao
2023	A	`conf`	Learning to Solve Tasks with Exploring Prior Behaviours. IROS Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Çeliktutan
2023	J	`jnl`	Learning to Solve Tasks with Exploring Prior Behaviours. CoRR Ruiqi Zhu, Siyuan Li, Tianhong Dai, Chongjie Zhang, Oya Çeliktutan
2023	J	`jnl`	Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design. CoRR Heng Dong, Junyu Zhang, Chongjie Zhang
2023	J	`jnl`	Never Explore Repeatedly in Multi-Agent Reinforcement Learning. CoRR Chenghao Li, Tonghan Wang, Chongjie Zhang, Qianchuan Zhao
2023	A*	`conf`	Offline Meta Reinforcement Learning with In-Distribution Online Adaptation. ICML Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang
2023	J	`jnl`	Offline Meta Reinforcement Learning with In-Distribution Online Adaptation. CoRR Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang
2023	A*	`conf`	Symmetry-Aware Robot Design with Structured Subgroups. ICML Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang
2023	J	`jnl`	Symmetry-Aware Robot Design with Structured Subgroups. CoRR Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang
2023	A*	`conf`	The Provable Benefit of Unsupervised Data Sharing for Offline Reinforcement Learning. ICLR Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang
2023	J	`jnl`	The Provable Benefits of Unsupervised Data Sharing for Offline Reinforcement Learning. CoRR Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang
2023	J	`jnl`	Towards Robust Offline Reinforcement Learning under Diverse Data Corruption. CoRR Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang
2023	A*	`conf`	Unsupervised Behavior Extraction via Random Intent Priors. NeurIPS Hao Hu, Yiqin Yang, Jianing Ye, Ziqing Mai, Chongjie Zhang
2023	J	`jnl`	Unsupervised Behavior Extraction via Random Intent Priors. CoRR Hao Hu, Yiqin Yang, Jianing Ye, Ziqing Mai, Chongjie Zhang
2023	A*	`conf`	What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? ICML Rui Yang, Lin Yong, Xiaoteng Ma, Hao Hu, Chongjie Zhang, Tong Zhang
2023	J	`jnl`	What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? CoRR Rui Yang, Yong Lin, Xiaoteng Ma, Hao Hu, Chongjie Zhang, Tong Zhang
2022	A*	`conf`	Active Hierarchical Exploration with Stable Subgoal Representation Learning. ICLR Siyuan Li, Jin Zhang, Jianhao Wang, Yang Yu, Chongjie Zhang
2022	A*	`conf`	CUP: Critic-Guided Policy Reuse. NeurIPS Jin Zhang, Siyuan Li, Chongjie Zhang
2022	J	`jnl`	CUP: Critic-Guided Policy Reuse. CoRR Jin Zhang, Siyuan Li, Chongjie Zhang
2022	A*	`conf`	Context-Aware Sparse Deep Coordination Graphs. ICLR Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang
2022	J	`jnl`	Decisions that Explain Themselves: A User-Centric Deep Reinforcement Learning Explanation System. CoRR Xiaoran Wu, Zihan Yan, Chongjie Zhang, Tongshuang Wu
2022	J	`jnl`	Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery. CoRR Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang
2022	A*	`conf`	Individual Reward Assisted Multi-Agent Reinforcement Learning. ICML Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan
2022	A*	`conf`	LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning. NeurIPS Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Jianhao Wang, Alex Yuan Gao, Wenzhe Li, Liang Bin, Chelsea Finn, Chongjie Zhang
2022	J	`jnl`	Latent-Variable Advantage-Weighted Policy Optimization for Offline RL. CoRR Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Yuan Gao, Jianhao Wang, Wenzhe Li, Bin Liang, Chelsea Finn, Chongjie Zhang
2022	A*	`conf`	Low-Rank Modular Reinforcement Learning via Muscle Synergy. NeurIPS Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
2022	J	`jnl`	Low-Rank Modular Reinforcement Learning via Muscle Synergy. CoRR Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
2022	J	`jnl`	MOORe: Model-based Offline-to-Online Reinforcement Learning. CoRR Yihuan Mao, Chao Wang, Bin Wang, Chongjie Zhang
2022	A*	`conf`	Multi-Agent Concentrative Coordination with Decentralized Task Representation. IJCAI Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Zongzhang Zhang, Chongjie Zhang, Yang Yu
2022	A*	`conf`	Multi-Agent Incentive Communication via Decentralized Teammate Modeling. AAAI Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu, Chongjie Zhang
2022	J	`jnl`	Multi-Agent Policy Transfer via Task Relationship Modeling. CoRR Rongjun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Zongzhang Zhang, Chongjie Zhang, Yang Yu
2022	A*	`conf`	Non-Linear Coordination Graphs. NeurIPS Yipeng Kang, Tonghan Wang, Qianlan Yang, Xiaoran Wu, Chongjie Zhang
2022	J	`jnl`	Non-Linear Coordination Graphs. CoRR Yipeng Kang, Tonghan Wang, Xiaoran Wu, Qianlan Yang, Chongjie Zhang
2022	A*	`conf`	Offline Reinforcement Learning with Value-based Episodic Memory. ICLR Xiaoteng Ma, Yiqin Yang, Hao Hu, Jun Yang, Chongjie Zhang, Qianchuan Zhao, Bin Liang, Qihan Liu
2022	A*	`conf`	On the Role of Discount Factor in Offline Reinforcement Learning. ICML Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang
2022	J	`jnl`	On the Role of Discount Factor in Offline Reinforcement Learning. CoRR Hao Hu, Yiqin Yang, Qianchuan Zhao, Chongjie Zhang
2022	A*	`conf`	RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. NeurIPS Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
2022	J	`jnl`	RORL: Robust Offline Reinforcement Learning via Conservative Smoothing. CoRR Rui Yang, Chenjia Bai, Xiaoteng Ma, Zhaoran Wang, Chongjie Zhang, Lei Han
2022	A*	`conf`	Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL. ICLR Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang
2022	J	`jnl`	Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL. CoRR Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang
2022	A*	`conf`	Safe Opponent-Exploitation Subgame Refinement. NeurIPS Mingyang Liu, Chengjie Wu, Qihan Liu, Yansen Jing, Jun Yang, Pingzhong Tang, Chongjie Zhang
2022	A*	`conf`	Self-Organized Polynomial-Time Coordination Graphs. ICML Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang
2022	J	`jnl`	Towards Global Optimality in Cooperative MARL with Sequential Transformation. CoRR Jianing Ye, Chenghao Li, Jianhao Wang, Chongjie Zhang
2021	J	`jnl`	Birds of a Feather Flock Together: A Close Look at Cooperation Emergence via Multi-Agent RL. CoRR Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang
2021	A*	`conf`	Celebrating Diversity in Shared Multi-Agent Reinforcement Learning. NeurIPS Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang
2021	J	`jnl`	Celebrating Diversity in Shared Multi-Agent Reinforcement Learning. CoRR Chenghao Li, Chengjie Wu, Tonghan Wang, Jun Yang, Qianchuan Zhao, Chongjie Zhang
2021	J	`jnl`	Containerized Distributed Value-Based Multi-Agent Reinforcement Learning. CoRR Siyang Wu, Tonghan Wang, Chenghao Li, Chongjie Zhang
2021	J	`jnl`	Context-Aware Sparse Deep Coordination Graphs. CoRR Tonghan Wang, Liang Zeng, Weijun Dong, Qianlan Yang, Yang Yu, Chongjie Zhang
2021	A*	`conf`	DOP: Off-Policy Multi-Agent Decomposed Policy Gradients. ICLR Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang
2021	J	`jnl`	Efficient Hierarchical Exploration with Stable Subgoal Representation Learning. CoRR Siyuan Li, Jin Zhang, Jianhao Wang, Chongjie Zhang
2021	J	`jnl`	Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration. CoRR Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang
2021	A*	`conf`	Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration. NeurIPS Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang
2021	A*	`conf`	Generalizable Episodic Memory for Deep Reinforcement Learning. ICML Hao Hu, Jianing Ye, Guangxiang Zhu, Zhizhou Ren, Chongjie Zhang
2021	J	`jnl`	Generalizable Episodic Memory for Deep Reinforcement Learning. CoRR Hao Hu, Jianing Ye, Zhizhou Ren, Guangxiang Zhu, Chongjie Zhang
2021	J	`jnl`	LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates. CoRR Jiahan Cao, Lei Yuan, Jianhao Wang, Shaowei Zhang, Chongjie Zhang, Yang Yu, De-Chuan Zhan
2021	A*	`conf`	Learning Subgoal Representations with Slow Dynamics. ICLR Siyuan Li, Lulu Zheng, Jianhao Wang, Chongjie Zhang
2021	A*	`conf`	MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration. ICML Jin Zhang, Jianhao Wang, Hao Hu, Tong Chen, Yingfeng Chen, Changjie Fan, Chongjie Zhang
2021	A*	`conf`	Model-Based Reinforcement Learning via Imagination with Derived Memory. NeurIPS Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao
2021	A*	`conf`	Offline Reinforcement Learning with Reverse Model-based Imagination. NeurIPS Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang
2021	J	`jnl`	Offline Reinforcement Learning with Reverse Model-based Imagination. CoRR Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang
2021	J	`jnl`	Offline Reinforcement Learning with Value-based Episodic Memory. CoRR Xiaoteng Ma, Yiqin Yang, Hao Hu, Qihan Liu, Jun Yang, Chongjie Zhang, Qianchuan Zhao, Bin Liang
2021	A*	`conf`	On the Estimation Bias in Double Q-Learning. NeurIPS Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang
2021	J	`jnl`	On the Estimation Bias in Double Q-Learning. CoRR Zhizhou Ren, Guangxiang Zhu, Hao Hu, Beining Han, Jianglun Chen, Chongjie Zhang
2021	A*	`conf`	QPLEX: Duplex Dueling Multi-Agent Q-Learning. ICLR Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang
2021	A*	`conf`	RODE: Learning Roles to Decompose Multi-Agent Tasks. ICLR Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
2021	A*	`conf`	Reward-Constrained Behavior Cloning. IJCAI Zhaorong Wang, Meng Wang, Jingqi Zhang, Yingfeng Chen, Chongjie Zhang
2021	J	`jnl`	Self-Organized Polynomial-Time Coordination Graphs. CoRR Qianlan Yang, Weijun Dong, Zhizhou Ren, Jianhao Wang, Tonghan Wang, Chongjie Zhang
2021	A*	`conf`	Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization. NeurIPS Jianhao Wang, Zhizhou Ren, Beining Han, Jianing Ye, Chongjie Zhang
2020	A*	`conf`	Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning. NeurIPS Guangxiang Zhu, Minghao Zhang, Honglak Lee, Chongjie Zhang
2020	J	`jnl`	Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning. CoRR Guangxiang Zhu, Minghao Zhang, Honglak Lee, Chongjie Zhang
2020	A*	`conf`	Episodic Reinforcement Learning with Associative Memory. ICLR Guangxiang Zhu, Zichuan Lin, Guangwen Yang, Chongjie Zhang
2020	J	`jnl`	Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning. CoRR Hangtian Jia, Yujing Hu, Yingfeng Chen, Chunxu Ren, Tangjie Lv, Changjie Fan, Chongjie Zhang
2020	A*	`conf`	Influence-Based Multi-Agent Exploration. ICLR Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang
2020	J	`jnl`	Learn to Effectively Explore in Context-Based Meta-RL. CoRR Jin Zhang, Jianhao Wang, Hao Hu, Yingfeng Chen, Changjie Fan, Chongjie Zhang
2020	A*	`conf`	Learning Nearly Decomposable Value Functions Via Communication Minimization. ICLR Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang
2020	—	`conf`	Modeling Trust Dynamics in Human-robot Teaming: A Bayesian Inference Approach. CHI Extended Abstracts Yaohui Guo, Chongjie Zhang, X. Jessie Yang
2020	A*	`conf`	Object-Oriented Dynamics Learning through Multi-Level Abstraction. AAAI Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Zichuan Lin, Chongjie Zhang
2020	J	`jnl`	Off-Policy Multi-Agent Decomposed Policy Gradients. CoRR Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang
2020	J	`jnl`	QPLEX: Duplex Dueling Multi-Agent Q-Learning. CoRR Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang
2020	J	`jnl`	RODE: Learning Roles to Decompose Multi-Agent Tasks. CoRR Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
2020	A*	`conf`	ROMA: Multi-Agent Reinforcement Learning with Emergent Roles. ICML Tonghan Wang, Heng Dong, Victor R. Lesser, Chongjie Zhang
2020	J	`jnl`	ROMA: Multi-Agent Reinforcement Learning with Emergent Roles. CoRR Tonghan Wang, Heng Dong, Victor R. Lesser, Chongjie Zhang
2020	J	`jnl`	SOAC: The Soft Option Actor-Critic Architecture. CoRR Chenghao Li, Xiaoteng Ma, Chongjie Zhang, Jun Yang, Li Xia, Qianchuan Zhao
2020	J	`jnl`	Towards Understanding Linear Value Decomposition in Cooperative Multi-Agent Q-Learning. CoRR Jianhao Wang, Zhizhou Ren, Beining Han, Chongjie Zhang
2019	A	`conf`	Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. AAMAS Tianpei Yang, Jianye Hao, Zhaopeng Meng, Yan Zheng, Chongjie Zhang, Ze Zheng
2019	A	`conf`	Context-Aware Policy Reuse. AAMAS Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang
2019	A	`conf`	Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games. AAMAS Xinliang Song, Tonghan Wang, Chongjie Zhang
2019	J	`jnl`	Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games. CoRR Xinliang Song, Tonghan Wang, Chongjie Zhang
2019	A*	`conf`	Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. NeurIPS Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang
2019	J	`jnl`	Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards. CoRR Siyuan Li, Rui Wang, Minxue Tang, Chongjie Zhang
2019	J	`jnl`	Influence-Based Multi-Agent Exploration. CoRR Tonghan Wang, Jianhao Wang, Yi Wu, Chongjie Zhang
2019	J	`jnl`	Learning Nearly Decomposable Value Functions Via Communication Minimization. CoRR Tonghan Wang, Jianhao Wang, Chongyi Zheng, Chongjie Zhang
2019	J	`jnl`	Object-Oriented Dynamics Learning through Multi-Level Abstraction. CoRR Guangxiang Zhu, Jianhao Wang, Zhizhou Ren, Chongjie Zhang
2019	A*	`conf`	Towards Efficient Detection and Optimal Response against Sophisticated Opponents. IJCAI Tianpei Yang, Jianye Hao, Zhaopeng Meng, Chongjie Zhang, Yan Zheng, Ze Zheng
2018	A*	`conf`	An Optimal Online Method of Selecting Source Policies for Reinforcement Learning. AAAI Siyuan Li, Chongjie Zhang
2018	J	`jnl`	Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents. CoRR Tianpei Yang, Zhaopeng Meng, Jianye Hao, Chongjie Zhang, Yan Zheng
2018	J	`jnl`	Context-Aware Policy Reuse. CoRR Siyuan Li, Fangda Gu, Guangxiang Zhu, Chongjie Zhang
2018	A*	`conf`	Object-Oriented Dynamics Predictor. NeurIPS Guangxiang Zhu, Zhiao Huang, Chongjie Zhang
2018	J	`jnl`	Object-Oriented Dynamics Predictor. CoRR Guangxiang Zhu, Chongjie Zhang
2017	J	`jnl`	An Optimal Online Method of Selecting Source Policies for Reinforcement Learning. CoRR Siyuan Li, Chongjie Zhang
2017	A	`conf`	Context-Based Concurrent Experience Sharing in Multiagent Systems. AAMAS Daniel Garant, Bruno Castro da Silva, Victor R. Lesser, Chongjie Zhang
2017	J	`jnl`	Context-Based Concurrent Experience Sharing in Multiagent Systems. CoRR Daniel Garant, Bruno Castro da Silva, Victor R. Lesser, Chongjie Zhang
2017	J	`jnl`	Perturbation Training for Human-Robot Teams. J. Artif. Intell. Res. Ramya Ramakrishnan, Chongjie Zhang, Julie A. Shah
2016	A*	`conf`	Co-Optimizating Multi-Agent Placement with Task Assignment and Scheduling. IJCAI Chongjie Zhang, Julie A. Shah
2016	A	`conf`	Co-optimizing task and motion planning. IROS Chongjie Zhang, Julie A. Shah
2015	A*	`conf`	On Fairness in Decision-Making under Uncertainty: Definitions, Computation, and Comparison. AAAI Chongjie Zhang, Julie A. Shah
2014	A*	`conf`	Decentralized Multi-Agent Reinforcement Learning in Average-Reward Dynamic DCOPs. AAAI Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang
2014	A	`conf`	Decentralized multi-agent reinforcement learning in average-reward dynamic DCOPs. AAMAS Duc Thien Nguyen, William Yeoh, Hoong Chuin Lau, Shlomo Zilberstein, Chongjie Zhang
2014	—	`conf`	Fairness in Multi-Agent Sequential Decision-Making. NIPS Chongjie Zhang, Julie A. Shah
2013	A	`conf`	Biasing the behavior of organizationally adept agents: (extended abstract). AAMAS Daniel D. Corkill, Chongjie Zhang, Bruno Castro da Silva, Yoonheui Kim, Daniel Garant, Victor R. Lesser, Xiaoqin Zhang
2013	—	`conf`	Combining Dynamic Reward Shaping and Action Shaping for Coordinating Multi-agent Learning. IAT Xiangbin Zhu, Chongjie Zhang, Victor R. Lesser
2013	A	`conf`	Coordinating multi-agent reinforcement learning with limited communication. AAMAS Chongjie Zhang, Victor R. Lesser
2012	J	`jnl`	An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration. ACM Trans. Intell. Syst. Technol. Xiaoqin Zhang, Bhavesh Shrestha, Sung Wook Yoon, Subbarao Kambhampati, Phillip DiBona, Jinhong K. Guo, Daniel McFarlane, Martin O. Hofmann, Kenneth R. Whitebread, Darren Scott Appling, Elizabeth T. Whitaker, Ethan Trewhitt, Li Ding, James Michaelis, Deborah L. McGuinness, James A. Hendler, Janardhan Rao Doppa, Charles Parker, Thomas G. Dietterich, Prasad Tadepalli, Weng-Keen Wong, Derek T. Green, Antons Rebguns, Diana F. Spears, Ugur Kuter, Geoffrey Levine, Gerald DeJong, Reid MacTavish, Santiago Ontañón, Jainarayan Radhakrishnan, Ashwin Ram, Hala Mostafa, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Victor R. Lesser, Zhexuan Song
2011	A*	`conf`	Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs. AAAI Chongjie Zhang, Victor R. Lesser
2010	A*	`conf`	Multi-Agent Learning with Policy Prediction. AAAI Chongjie Zhang, Victor R. Lesser
2010	A	`conf`	Self-organization for coordinating decentralized reinforcement learning. AAMAS Chongjie Zhang, Victor R. Lesser, Sherief Abdallah
2009	A*	`conf`	A Multi-Agent Learning Approach to Online Distributed Resource Allocation. IJCAI Chongjie Zhang, Victor R. Lesser, Prashant J. Shenoy
2009	C	`conf`	An Ensemble Learning and Problem Solving Architecture for Airspace Management. IAAI Xiaoqin Zhang, Sung Wook Yoon, Phillip DiBona, Darren Scott Appling, Li Ding, Janardhan Rao Doppa, Derek T. Green, Jinhong K. Guo, Ugur Kuter, Geoffrey Levine, Reid MacTavish, Daniel McFarlane, James Michaelis, Hala Mostafa, Santiago Ontañón, Charles Parker, Jainarayan Radhakrishnan, Antons Rebguns, Bhavesh Shrestha, Zhexuan Song, Ethan Trewhitt, Huzaifa Zafar, Chongjie Zhang, Daniel D. Corkill, Gerald DeJong, Thomas G. Dietterich, Subbarao Kambhampati, Victor R. Lesser, Deborah L. McGuinness, Ashwin Ram, Diana F. Spears, Prasad Tadepalli, Elizabeth T. Whitaker, Weng-Keen Wong, James A. Hendler, Martin O. Hofmann, Kenneth R. Whitebread
2009	—	`conf`	Integrating organizational control into multi-agent learning. AAMAS (2) Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
2008	—	`conf`	Efficient multi-agent reinforcement learning through automated supervision. AAMAS (3) Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
2007	—	`conf`	A workflow approach to designed reservoir study. WORKS@HPDC Gabrielle Allen, Promita Chakraborty, Dayong Huang, Zhou Lei, John Lewis, Xin Li, Christopher D. White, Xiaoxi Xu, Chongjie Zhang
2007	J	`jnl`	An application portal for collaborative coastal modeling. Concurr. Comput. Pract. Exp. Chongjie Zhang, Chirag Dekate, Gabrielle Allen, Ian Kelley, Jon MacLaren
2007	J	`jnl`	Grid portal solutions: a comparison of GridPortlets and OGCE. Concurr. Comput. Pract. Exp. Chongjie Zhang, Ian Kelley, Gabrielle Allen
2005	—	`conf`	Shelter from the Storm: Building a Safe Archive in a Hostile World. OTM Workshops Jon MacLaren, Gabrielle Allen, Chirag Dekate, Dayong Huang, Andrei Hutanu, Chongjie Zhang