Zongzhang Zhang

125 papers A* 54A 7B 4Journal 51Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ASTER: Agentic Scaling with Tool-integrated Extended Reasoning. CoRR Xuqin Zhang, Quan He, Zhenrui Zheng, Zongzhang Zhang, Xu He, Dong Li
2026	A*	`conf`	Efficient Preference Alignment via Pareto Exploration (Student Abstract). AAAI Pengfei Liu, Rui Kong, Zongzhang Zhang
2026	A*	`conf`	Meta-Normalizing Flow for Data-Limited Offline Meta-Reinforcement Learning (Student Abstract). AAAI Lianghui Liu, Zongzhang Zhang
2026	A*	`conf`	Multi-agent In-context Coordination via Decentralized Memory Retrieval. AAAI Tao Jiang, Zichuan Lin, Lihe Li, Yi-Chen Li, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu, Deheng Ye
2026	A*	`conf`	Reward Model Evaluation via Automatically-Ranked Policy Alignment. AAAI Aoran Wang, Lei Ou, Yang Yu, Zongzhang Zhang
2026	J	`jnl`	Unleashing Humanoid Reaching Potential via Real-World-Ready Skill Space. IEEE Robotics Autom. Lett. Zhikai Zhang, Chao Chen, Han Xue, Jilong Wang, Sikai Liang, Yun Liu, Zongzhang Zhang, He Wang, Li Yi
2025	A*	`conf`	Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning. ICML Chen-Xiao Gao, Chenyang Wu, Mingjun Cao, Chenjun Xiao, Yang Yu, Zongzhang Zhang
2025	J	`jnl`	Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning. CoRR Chen-Xiao Gao, Chenyang Wu, Mingjun Cao, Chenjun Xiao, Yang Yu, Zongzhang Zhang
2025	J	`jnl`	Constraining an Unconstrained Multi-agent Policy with offline data. Neural Networks Cong Guan, Tao Jiang, Yi-Chen Li, Zongzhang Zhang, Lei Yuan, Yang Yu
2025	J	`jnl`	Efficient Communication via Self-Supervised Information Aggregation for Online and Offline Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Cong Guan, Feng Chen, Lei Yuan, Zongzhang Zhang, Yang Yu
2025	J	`jnl`	Efficient Multi-Agent Cooperation Learning through Teammate Lookahead. Trans. Mach. Learn. Res. Feng Chen, Xinwei Chen, Rong-Jun Qin, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu
2025	J	`jnl`	EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving. CoRR Shihan Dou, Ming Zhang, Chenhao Huang, Jiayi Chen, Feng Chen, Shichun Liu, Yan Liu, Chenxiao Liu, Cheng Zhong, Zongzhang Zhang, Tao Gui, Chao Xin, Wei Chengzhi, Lin Yan, Qi Zhang, Yonghui Wu, Xuanjing Huang
2025	J	`jnl`	Generalizable Multi-Modal Adversarial Imitation Learning for Non-Stationary Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. Yi-Chen Li, Ningjing Chao, Zongzhang Zhang, Fuxiang Zhang, Lei Yuan, Yang Yu
2025	J	`jnl`	Improving Sample Efficiency of Reinforcement Learning With Background Knowledge From Large Language Models. IEEE Trans. Neural Networks Learn. Syst. Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye
2025	J	`jnl`	Learning to Coordinate With Different Teammates via Team Probing. IEEE Trans. Neural Networks Learn. Syst. Hao Ding, Chengxing Jia, Zongzhang Zhang, Cong Guan, Feng Chen, Lei Yuan, Yang Yu
2025	—	`conf`	Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling. ACL (1) Shihan Dou, Jiayi Chen, Chenhao Huang, Feng Chen, Wei Chengzhi, Huiyuan Zheng, Shichun Liu, Yan Liu, Chenxiao Liu, Chao Xin, Lin Yan, Zongzhang Zhang, Tao Gui, Qi Zhang, Xuanjing Huang
2025	J	`jnl`	Multi-agent In-context Coordination via Decentralized Memory Retrieval. CoRR Tao Jiang, Zichuan Lin, Lihe Li, Yi-Chen Li, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu, Deheng Ye
2025	A*	`conf`	Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation. ICLR Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu, Bo An
2025	A*	`conf`	Reinforced In-Context Black-Box Optimization. IJCAI Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
2025	A*	`conf`	Reward Models in Deep Reinforcement Learning: A Survey. IJCAI Rui Yu, Shenghua Wan, Yucen Wang, Chen-Xiao Gao, Le Gan, Zongzhang Zhang, De-Chuan Zhan
2025	J	`jnl`	Reward Models in Deep Reinforcement Learning: A Survey. CoRR Rui Yu, Shenghua Wan, Yucen Wang, Chen-Xiao Gao, Le Gan, Zongzhang Zhang, De-Chuan Zhan
2025	J	`jnl`	Sentence-level Reward Model can Generalize Better for Aligning LLM from Human Preference. CoRR Wenjie Qiu, Yi-Chen Li, Xuqin Zhang, Tianyi Zhang, Yihang Zhang, Zongzhang Zhang, Yang Yu
2025	J	`jnl`	Unleashing Humanoid Reaching Potential via Real-world-Ready Skill Space. CoRR Zhikai Zhang, Chao Chen, Han Xue, Jilong Wang, Sikai Liang, Yun Liu, Zongzhang Zhang, He Wang, Li Yi
2024	A*	`conf`	ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. AAAI Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu
2024	J	`jnl`	Alpha CoRR Feng Xu, Yan Yin, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Zongzhang Zhang
2024	A*	`conf`	Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning. ICLR Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang
2024	J	`jnl`	Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation. Frontiers Comput. Sci. Lei Yuan, Feng Chen, Zongzhang Zhang, Yang Yu
2024	A*	`conf`	Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics. ICML Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu
2024	J	`jnl`	Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics. CoRR Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu
2024	A	`conf`	Deep Anomaly Detection via Active Anomaly Search. AAMAS Chao Chen, Dawei Wang, Feng Mao, Jiacheng Xu, Zongzhang Zhang, Yang Yu
2024	A*	`conf`	Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration. ICML Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Xuhui Liu, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Yang Yu, Anqi Huang, Kai Xu, Zongzhang Zhang
2024	A	`conf`	Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. AAMAS Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu
2024	J	`jnl`	Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. CoRR Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu
2024	A*	`conf`	Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization. IJCAI Rui Kong, Chenyang Wu, Chen-Xiao Gao, Zongzhang Zhang, Ming Li
2024	A*	`conf`	Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning. AAAI Chao Chen, Jiacheng Xu, Weijian Liao, Hao Ding, Zongzhang Zhang, Yang Yu, Rui Zhao
2024	A*	`conf`	Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract). AAAI Rui Kong, Chenyang Wu, Zongzhang Zhang
2024	A*	`conf`	Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. AAAI Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu
2024	J	`jnl`	Hindsight Preference Learning for Offline Preference-based Reinforcement Learning. CoRR Chen-Xiao Gao, Shengjun Fang, Chenjun Xiao, Yang Yu, Zongzhang Zhang
2024	J	`jnl`	Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models. CoRR Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye
2024	A*	`conf`	Language Model Self-improvement by Reinforcement Learning Contemplation. ICLR Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
2024	J	`jnl`	Model gradient: unified model and policy learning in model-based reinforcement learning. Frontiers Comput. Sci. Chengxing Jia, Fuxiang Zhang, Tian Xu, Jing-Cheng Pang, Zongzhang Zhang, Yang Yu
2024	A*	`conf`	Multi-Agent Domain Calibration with a Handful of Offline Data. NeurIPS Tao Jiang, Lei Yuan, Lihe Li, Cong Guan, Zongzhang Zhang, Yang Yu
2024	A*	`conf`	Multi-Expert Distillation for Few-Shot Coordination (Student Abstract). AAAI Yujian Zhu, Hao Ding, Zongzhang 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`	ODRL: A Benchmark for Off-Dynamics Reinforcement Learning. NeurIPS Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li
2024	J	`jnl`	ODRL: A Benchmark for Off-Dynamics Reinforcement Learning. CoRR Jiafei Lyu, Kang Xu, Jiacheng Xu, Mengbei Yan, Jingwen Yang, Zongzhang Zhang, Chenjia Bai, Zongqing Lu, Xiu Li
2024	J	`jnl`	One by One, Continual Coordinating with Humans via Hyper-Teammate Identification. Trans. Mach. Learn. Res. Cong Guan, Feng Chen, Ke Xue, Chunpeng Fan, Lichao Zhang, Ziqian Zhang, Pengyao Zhao, Zongzhang Zhang, Chao Qian, Lei Yuan, Yang Yu
2024	A*	`conf`	Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. ICLR Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu
2024	J	`jnl`	Q-Adapter: Training Your LLM Adapter as a Residual Q-Function. CoRR Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu
2024	J	`jnl`	Reinforced In-Context Black-Box Optimization. CoRR Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
2024	J	`jnl`	Robust cooperative multi-agent reinforcement learning via multi-view message certification. Sci. China Inf. Sci. Lei Yuan, Tao Jiang, Lihe Li, Feng Chen, Zongzhang Zhang, Yang Yu
2024	J	`jnl`	Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay. CoRR Feng Chen, Fuguang Han, Cong Guan, Lei Yuan, Zhilong Zhang, Yang Yu, Zongzhang Zhang
2023	J	`jnl`	ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. CoRR Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract). AAAI Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu, Xiaoyang Liu
2023	J	`jnl`	Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning. CoRR Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang
2023	J	`jnl`	Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation. CoRR Lei Yuan, Feng Chen, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract). AAAI Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data. ICLR Fuxiang Zhang, Chengxing Jia, Yi-Chen Li, Lei Yuan, Yang Yu, Zongzhang Zhang
2023	J	`jnl`	Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning. CoRR Cong Guan, Feng Chen, Lei Yuan, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Expert Data Augmentation in Imitation Learning (Student Abstract). AAAI Fuguang Han, Zongzhang Zhang
2023	J	`jnl`	Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. CoRR Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu
2023	A	`conf`	How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. AAMAS Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu
2023	J	`jnl`	How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. CoRR Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu
2023	J	`jnl`	Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments. CoRR Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Anqi Huang, Kai Xu, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Internal Logical Induction for Pixel-Symbolic Reinforcement Learning. KDD Jiacheng Xu, Chao Chen, Fuxiang Zhang, Lei Yuan, Zongzhang Zhang, Yang Yu
2023	J	`jnl`	Language Model Self-improvement by Reinforcement Learning Contemplation. CoRR Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract). AAAI Yi-Chen Li, Wen-Jie Shen, Boyu Zhang, Feng Mao, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Model-Based Offline Weighted Policy Optimization (Student Abstract). AAAI Renzhe Zhou, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. ICML Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu
2023	J	`jnl`	Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. CoRR Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning. AAAI Weijian Liao, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Retrosynthetic Planning with Dual Value Networks. ICML Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
2023	J	`jnl`	Retrosynthetic Planning with Dual Value Networks. CoRR Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu
2023	J	`jnl`	Robust Multi-agent Communication via Multi-view Message Certification. CoRR Lei Yuan, Tao Jiang, Lihe Li, Feng Chen, Zongzhang Zhang, Yang Yu
2023	A*	`conf`	Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract). AAAI Feng Chen, Chenghe Wang, Fuxiang Zhang, Hao Ding, Qiaoyong Zhong, Shiliang Pu, Zongzhang Zhang
2022	A*	`conf`	Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy. AAAI Fan-Ming Luo, Shengyi Jiang, Yang Yu, Zongzhang Zhang, Yi-Feng Zhang
2022	A*	`conf`	Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning. NeurIPS Chenyang Wu, Tianci Li, Zongzhang Zhang, Yang Yu
2022	A*	`conf`	Efficient Multi-Agent Communication via Shapley Message Value. IJCAI Di Xue, Lei Yuan, Zongzhang Zhang, Yang Yu
2022	A*	`conf`	Efficient Multi-agent Communication via Self-supervised Information Aggregation. NeurIPS Cong Guan, Feng Chen, Lei Yuan, Chenghe Wang, Hao Yin, Zongzhang Zhang, Yang Yu
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`	Multi-agent Dynamic Algorithm Configuration. NeurIPS Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
2022	J	`jnl`	Multi-agent Dynamic Algorithm Configuration. CoRR Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
2021	A*	`conf`	Adaptive Online Packing-guided Search for POMDPs. NeurIPS Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao
2021	A*	`conf`	Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning. NeurIPS Xiong-Hui Chen, Shengyi Jiang, Feng Xu, Zongzhang Zhang, Yang Yu
2021	J	`jnl`	Efficient policy detecting and reusing for non-stationarity in Markov games. Auton. Agents Multi Agent Syst. Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhaopeng Meng, Tianpei Yang, Yanran Li, Changjie Fan
2021	A*	`conf`	Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract). AAAI Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu
2021	A*	`conf`	LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract). AAAI Chenyang Wu, Rui Kong, Guoyu Yang, Xianghan Kong, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu
2020	—	`conf`	Double Replay Buffers with Restricted Gradient. ICONIP (2) Linjing Zhang, Zongzhang Zhang
2020	A	`conf`	Efficient Deep Reinforcement Learning through Policy Transfer. AAMAS Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng
2020	J	`jnl`	Efficient Deep Reinforcement Learning through Policy Transfer. CoRR Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng
2020	A*	`conf`	Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
2020	J	`jnl`	Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments. J. Comput. Sci. Technol. Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhao-Peng Meng, Xiaotian Hao
2020	A*	`conf`	Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract). AAAI Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang
2020	—	`conf`	Recency-Weighted Acceleration for Continuous Control Through Deep Reinforcement Learning. ICONIP (2) Zhen Wu, Zongzhang Zhang, Xiaofang Zhang
2020	A*	`conf`	Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract). AAAI Chong Jiang, Zongzhang Zhang, Zixuan Chen, Jiacheng Zhu, Junpeng Jiang
2020	A*	`conf`	Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. IJCAI Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu
2020	J	`jnl`	Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. CoRR Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu
2019	—	`conf`	Deep Recurrent Policy Networks for Planning Under Partial Observability. ICANN (1) Zixuan Chen, Zongzhang Zhang
2019	J	`jnl`	Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation. Frontiers Comput. Sci. Shan Zhong, Quan Liu, Zongzhang Zhang, Qiming Fu
2019	B	`conf`	Experience Selection in Multi-agent Deep Reinforcement Learning. ICTAI Yishen Wang, Zongzhang Zhang
2019	A*	`conf`	Monte Carlo Tree Search for Policy Optimization. IJCAI Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer
2019	J	`jnl`	Monte-Carlo Tree Search for Policy Optimization. CoRR Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer
2018	A*	`conf`	A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents. NeurIPS Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan
2018	—	`conf`	ACGAIL: Imitation Learning About Multiple Intentions with Auxiliary Classifier GANs. PRICAI (1) Jiahao Lin, Zongzhang Zhang
2018	—	`conf`	Asynchronous Value Iteration Network. ICONIP (2) Zhiyuan Pan, Zongzhang Zhang, Zixuan Chen
2018	J	`jnl`	Hierarchical Deep Multiagent Reinforcement Learning. CoRR Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang
2018	B	`conf`	Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. PRICAI Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang
2018	J	`jnl`	Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. CoRR Yan Zheng, Jianye Hao, Zongzhang Zhang
2017	A*	`conf`	Weighted Double Q-learning. IJCAI Zongzhang Zhang, Zhiyuan Pan, Mykel J. Kochenderfer
2016	A	`conf`	Covering Number: Analyses for Approximate Continuous-state POMDP Planning (Extended Abstract). AAMAS Zongzhang Zhang, Quan Liu
2016	—	`conf`	Deep Q-Learning with Prioritized Sampling. ICONIP (1) JianWei Zhai, Quan Liu, Zongzhang Zhang, Shan Zhong, Haijun Zhu, Peng Zhang, Cijia Sun
2016	—	`conf`	Policy graph pruning and optimization in Monte Carlo Value Iteration for continuous-state POMDPs. SSCI Weisheng Qian, Quan Liu, Zongzhang Zhang, Zhiyuan Pan, Shan Zhong
2016	J	`jnl`	Reasoning and predicting POMDP planning complexity via covering numbers. Frontiers Comput. Sci. Zongzhang Zhang, Qi-ming Fu, Xiaofang Zhang, Quan Liu
2015	B	`conf`	Intelligent Model Learning Based on Variance for Bayesian Reinforcement Learning. ICTAI Shuhua You, Quan Liu, Zongzhang Zhang, Hui Wang, Xiaofang Zhang
2015	A*	`conf`	PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. ICAPS Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai
2015	B	`conf`	PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. SOCS Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai
2015	A	`conf`	Trajectory Sampling Value Iteration: Improved Dyna Search for MDPs. AAMAS Yicheng Zhou, Quan Liu, Qi-ming Fu, Zongzhang Zhang
2014	A*	`conf`	Covering Number for Efficient Heuristic-based POMDP Planning. ICML Zongzhang Zhang, David Hsu, Wee Sun Lee
2014	A*	`conf`	Thompson Sampling Based Monte-Carlo Planning in POMDPs. ICAPS Aijun Bai, Feng Wu, Zongzhang Zhang, Xiaoping Chen
2012	A*	`conf`	Covering Number as a Complexity Measure for POMDP Planning and Learning. AAAI Zongzhang Zhang, Michael L. Littman, Xiaoping Chen
2012	J	`jnl`	FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPs CoRR Zongzhang Zhang, Xiaoping Chen
2012	A	`conf`	FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPs. UAI Zongzhang Zhang, Xiaoping Chen
2010	—	`conf`	Accelerating Point-Based POMDP Algorithms via Greedy Strategies. SIMPAR Zongzhang Zhang, Xiaoping Chen