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Zongzhang Zhang
章宗长
Person information
- unicode name: 章宗长
- affiliation: Nanjing University, National Key Laboratory for Novel Software Technology, Nanjing, China
- affiliation (former): Soochow University, School of Computer Science and Technology, Suzhou, China
- affiliation (former, PhD): University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
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2020 – today
- 2024
- [j6]Chengxing Jia, Fuxiang Zhang, Tian Xu, Jing-Cheng Pang, Zongzhang Zhang, Yang Yu:
Model gradient: unified model and policy learning in model-based reinforcement learning. Frontiers Comput. Sci. 18(4): 184339 (2024) - [j5]Lei Yuan, Feng Chen, Zongzhang Zhang, Yang Yu:
Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation. Frontiers Comput. Sci. 18(6) (2024) - [c63]Chao Chen, Jiacheng Xu, Weijian Liao, Hao Ding, Zongzhang Zhang, Yang Yu, Rui Zhao:
Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning. AAAI 2024: 11240-11248 - [c62]Chenxiao Gao, Chenyang Wu
, Mingjun Cao
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. AAAI 2024: 12127-12135 - [c61]Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu:
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. AAAI 2024: 17132-17140 - [c60]Rui Kong, Chenyang Wu
Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract). AAAI 2024: 23546-23547 - [c59]Yujian Zhu, Hao Ding, Zongzhang Zhang:
Multi-Expert Distillation for Few-Shot Coordination (Student Abstract). AAAI 2024: 23717-23719 - [c58]Chao Chen, Dawei Wang, Feng Mao, Jiacheng Xu, Zongzhang Zhang, Yang Yu:
Deep Anomaly Detection via Active Anomaly Search. AAMAS 2024: 308-316 - [c57]Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu:
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. AAMAS 2024: 944-953 - [c56]Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang:
Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning. ICLR 2024 - [c55]Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu:
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. ICLR 2024 - [c54]Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu:
Language Model Self-improvement by Reinforcement Learning Contemplation. ICLR 2024 - [c53]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:
Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration. ICML 2024 - [c52]Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu:
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics. ICML 2024 - [c51]Rui Kong, Chenyang Wu, Chen-Xiao Gao, Zongzhang Zhang, Ming Li:
Efficient and Stable Offline-to-online Reinforcement Learning via Continual Policy Revitalization. IJCAI 2024: 4317-4325 - [i26]Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu:
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics. CoRR abs/2402.11317 (2024) - [i25]Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu
Reinforced In-Context Black-Box Optimization. CoRR abs/2402.17423 (2024) - [i24]Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu:
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. CoRR abs/2403.07261 (2024) - [i23]Feng Xu, Yan Yin, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Zongzhang Zhang:
Alpha2: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning. CoRR abs/2406.16505 (2024) - [i22]Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu:
Q-Adapter: Training Your LLM Adapter as a Residual Q-Function. CoRR abs/2407.03856 (2024) - [i21]Fuxiang Zhang, Junyou Li, Yi-Chen Li, Zongzhang Zhang, Yang Yu, Deheng Ye:
Improving Sample Efficiency of Reinforcement Learning with Background Knowledge from Large Language Models. CoRR abs/2407.03964 (2024) - [i20]Chen-Xiao Gao, Shengjun Fang, Chenjun Xiao, Yang Yu, Zongzhang Zhang:
Hindsight Preference Learning for Offline Preference-based Reinforcement Learning. CoRR abs/2407.04451 (2024) - 2023
- [c50]Weijian Liao, Zongzhang Zhang, Yang Yu:
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning. AAAI 2023: 8746-8754 - [c49]Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu:
Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract). AAAI 2023: 16180-16181 - [c48]Feng Chen, Chenghe Wang, Fuxiang Zhang, Hao Ding, Qiaoyong Zhong, Shiliang Pu, Zongzhang Zhang:
Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract). AAAI 2023: 16182-16183 - [c47]Fuguang Han, Zongzhang Zhang:
Expert Data Augmentation in Imitation Learning (Student Abstract). AAAI 2023: 16220-16221 - [c46]Yi-Chen Li, Wen-Jie Shen, Boyu Zhang, Feng Mao, Zongzhang Zhang, Yang Yu:
Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract). AAAI 2023: 16258-16259 - [c45]Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu, Xiaoyang Liu:
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract). AAAI 2023: 16356-16357 - [c44]Renzhe Zhou, Zongzhang Zhang, Yang Yu:
Model-Based Offline Weighted Policy Optimization (Student Abstract). AAAI 2023: 16392-16393 - [c43]Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu:
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. AAMAS 2023: 1276-1284 - [c42]Fuxiang Zhang, Chengxing Jia, Yi-Chen Li, Lei Yuan, Yang Yu, Zongzhang Zhang:
Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data. ICLR 2023 - [c41]Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu:
Retrosynthetic Planning with Dual Value Networks. ICML 2023: 22266-22276 - [c40]Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu:
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. ICML 2023: 28701-28717 - [c39]Jiacheng Xu
Internal Logical Induction for Pixel-Symbolic Reinforcement Learning. KDD 2023: 2825-2837 - [i19]Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp
Retrosynthetic Planning with Dual Value Networks. CoRR abs/2301.13755 (2023) - [i18]Cong Guan, Feng Chen, Lei Yuan, Zongzhang Zhang, Yang Yu:
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning. CoRR abs/2302.09605 (2023) - [i17]Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu:
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. CoRR abs/2303.02073 (2023) - [i16]Lei Yuan, Feng Chen, Zongzhang Zhang, Yang Yu:
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation. CoRR abs/2305.05116 (2023) - [i15]Lei Yuan, Tao Jiang, Lihe Li, Feng Chen, Zongzhang Zhang, Yang Yu:
Robust Multi-agent Communication via Multi-view Message Certification. CoRR abs/2305.13936 (2023) - [i14]Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu:
Language Model Self-improvement by Reinforcement Learning Contemplation. CoRR abs/2305.14483 (2023) - [i13]Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu:
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. CoRR abs/2306.06569 (2023) - [i12]Chenxiao Gao, Chenyang Wu
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. CoRR abs/2309.05915 (2023) - [i11]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:
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments. CoRR abs/2310.05712 (2023) - [i10]Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang:
Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning. CoRR abs/2312.04819 (2023) - [i9]Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu:
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. CoRR abs/2312.15909 (2023) - 2022
- [c38]Fan-Ming Luo, Shengyi Jiang, Yang Yu, Zongzhang Zhang, Yi-Feng Zhang:
Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy. AAAI 2022: 7637-7646 - [c37]Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu, Chongjie Zhang:
Multi-Agent Incentive Communication via Decentralized Teammate Modeling. AAAI 2022: 9466-9474 - [c36]Di Xue, Lei Yuan, Zongzhang Zhang, Yang Yu:
Efficient Multi-Agent Communication via Shapley Message Value. IJCAI 2022: 578-584 - [c35]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: 599-605 - [c34]Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu:
Multi-agent Dynamic Algorithm Configuration. NeurIPS 2022 - [c33]Cong Guan, Feng Chen, Lei Yuan, Chenghe Wang, Hao Yin, Zongzhang Zhang, Yang Yu:
Efficient Multi-agent Communication via Self-supervised Information Aggregation. NeurIPS 2022 - [c32]Chenyang Wu, Tianci Li, Zongzhang Zhang, Yang Yu:
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning. NeurIPS 2022 - [i8]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 abs/2203.04482 (2022) - [i7]Ke Xue
Multi-agent Dynamic Algorithm Configuration. CoRR abs/2210.06835 (2022) - 2021
- [j4]Yan Zheng
Efficient policy detecting and reusing for non-stationarity in Markov games. Auton. Agents Multi Agent Syst. 35(1): 2 (2021) - [c31]Chenyang Wu, Rui Kong, Guoyu Yang, Xianghan Kong, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu:
LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract). AAAI 2021: 15927-15928 - [c30]Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu:
Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract). AAAI 2021: 15937-15938 - [c29]Xiong-Hui Chen, Shengyi Jiang, Feng Xu, Zongzhang Zhang, Yang Yu:
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning. NeurIPS 2021: 12520-12532 - [c28]Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao:
Adaptive Online Packing-guided Search for POMDPs. NeurIPS 2021: 28419-28430 - 2020
- [j3]Yan Zheng
Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments. J. Comput. Sci. Technol. 35(2): 268-280 (2020) - [c27]Chong Jiang, Zongzhang Zhang, Zixuan Chen, Jiacheng Zhu, Junpeng Jiang:
Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract). AAAI 2020: 13819-13820 - [c26]Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang:
Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract). AAAI 2020: 13997-13998 - [c25]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning through Policy Transfer. AAMAS 2020: 2053-2055 - [c24]Linjing Zhang, Zongzhang Zhang:
Double Replay Buffers with Restricted Gradient. ICONIP (2) 2020: 295-306 - [c23]Zhen Wu, Zongzhang Zhang, Xiaofang Zhang:
Recency-Weighted Acceleration for Continuous Control Through Deep Reinforcement Learning. ICONIP (2) 2020: 604-615 - [c22]Cong Fei, Bin Wang
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. IJCAI 2020: 2929-2935 - [c21]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI 2020: 3094-3100 - [i6]Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Weixun Wang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhaodong Wang, Jiajie Peng:
Efficient Deep Reinforcement Learning through Policy Transfer. CoRR abs/2002.08037 (2020) - [i5]Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu:
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets. CoRR abs/2005.10622 (2020)
2010 – 2019
- 2019
- [j2]Shan Zhong, Quan Liu, Zongzhang Zhang, Qiming Fu:
Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation. Frontiers Comput. Sci. 13(1): 106-126 (2019) - [c20]Zixuan Chen, Zongzhang Zhang:
Deep Recurrent Policy Networks for Planning Under Partial Observability. ICANN (1) 2019: 598-610 - [c19]Yishen Wang, Zongzhang Zhang:
Experience Selection in Multi-agent Deep Reinforcement Learning. ICTAI 2019: 864-870 - [c18]Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer:
Monte Carlo Tree Search for Policy Optimization. IJCAI 2019: 3116-3122 - [i4]Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer:
Monte-Carlo Tree Search for Policy Optimization. CoRR abs/1912.10648 (2019) - 2018
- [c17]Zhiyuan Pan, Zongzhang Zhang, Zixuan Chen:
Asynchronous Value Iteration Network. ICONIP (2) 2018: 169-180 - [c16]Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan:
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents. NeurIPS 2018: 962-972 - [c15]Jiahao Lin, Zongzhang Zhang:
ACGAIL: Imitation Learning About Multiple Intentions with Auxiliary Classifier GANs. PRICAI (1) 2018: 321-334 - [c14]Yan Zheng
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. PRICAI 2018: 421-429 - [i3]Yan Zheng, Jianye Hao, Zongzhang Zhang:
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. CoRR abs/1802.08534 (2018) - [i2]Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang:
Hierarchical Deep Multiagent Reinforcement Learning. CoRR abs/1809.09332 (2018) - 2017
- [c13]Zongzhang Zhang, Zhiyuan Pan, Mykel J. Kochenderfer
Weighted Double Q-learning. IJCAI 2017: 3455-3461 - 2016
- [j1]Zongzhang Zhang, Qi-ming Fu, Xiaofang Zhang, Quan Liu:
Reasoning and predicting POMDP planning complexity via covering numbers. Frontiers Comput. Sci. 10(4): 726-740 (2016) - [c12]Zongzhang Zhang, Quan Liu:
Covering Number: Analyses for Approximate Continuous-state POMDP Planning (Extended Abstract). AAMAS 2016: 1293-1294 - [c11]Jianwei Zhai, Quan Liu, Zongzhang Zhang, Shan Zhong, Haijun Zhu, Peng Zhang, Cijia Sun:
Deep Q-Learning with Prioritized Sampling. ICONIP (1) 2016: 13-22 - [c10]Weisheng Qian, Quan Liu, Zongzhang Zhang, Zhiyuan Pan, Shan Zhong:
Policy graph pruning and optimization in Monte Carlo Value Iteration for continuous-state POMDPs. SSCI 2016: 1-8 - 2015
- [c9]Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai:
PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. ICAPS 2015: 249-258 - [c8]Yicheng Zhou, Quan Liu, Qi-ming Fu, Zongzhang Zhang:
Trajectory Sampling Value Iteration: Improved Dyna Search for MDPs. AAMAS 2015: 1685-1686 - [c7]Shuhua You, Quan Liu, Zongzhang Zhang, Hui Wang, Xiaofang Zhang:
Intelligent Model Learning Based on Variance for Bayesian Reinforcement Learning. ICTAI 2015: 170-177 - [c6]Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai:
PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. SOCS 2015: 238-239 - 2014
- [c5]Aijun Bai, Feng Wu, Zongzhang Zhang, Xiaoping Chen:
Thompson Sampling Based Monte-Carlo Planning in POMDPs. ICAPS 2014 - [c4]Zongzhang Zhang, David Hsu, Wee Sun Lee:
Covering Number for Efficient Heuristic-based POMDP Planning. ICML 2014: 28-36 - 2012
- [c3]Zongzhang Zhang, Michael L. Littman, Xiaoping Chen:
Covering Number as a Complexity Measure for POMDP Planning and Learning. AAAI 2012: 1853-1859 - [c2]Zongzhang Zhang, Xiaoping Chen:
FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPs. UAI 2012: 934-943 - [i1]Zongzhang Zhang, Xiaoping Chen:
FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPs. CoRR abs/1210.4912 (2012) - 2010
- [c1]Zongzhang Zhang, Xiaoping Chen:
Accelerating Point-Based POMDP Algorithms via Greedy Strategies. SIMPAR 2010: 545-556
Coauthor Index
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