Zongzhang Zhang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 84

Top Topics

Continuous State And Action Spaces

Reinforcement Learning

Top Venues

Publications

Yujian Zhu, Hao Ding, Zongzhang Zhang
Multi-Expert Distillation for Few-Shot Coordination (Student Abstract). AAAI (2024)
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 (2024)
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) (2024)
Chao Chen, Jiacheng Xu, Weijian Liao, Hao Ding, Zongzhang Zhang, Yang Yu, Rui Zhao
Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning. AAAI (2024)
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 (2024)
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 (2024)
Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian
Reinforced In-Context Black-Box Optimization. CoRR (2024)
Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. AAAI (2024)
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 (2024)
Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang
Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning. ICLR (2024)
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)
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)
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)
Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. AAAI (2024)
Chao Chen, Dawei Wang, Feng Mao, Jiacheng Xu, Zongzhang Zhang, Yang Yu
Deep Anomaly Detection via Active Anomaly Search. AAMAS (2024)
Feng Xu, Yan Yin, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Zongzhang Zhang
: Discovering Logical Formulaic Alphas using Deep Reinforcement Learning. CoRR (2024)
Rui Kong, Chenyang Wu, Zongzhang Zhang
Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract). AAAI (2024)
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)
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)
Chen-Xiao Gao, Shengjun Fang, Chenjun Xiao, Yang Yu, Zongzhang Zhang
Hindsight Preference Learning for Offline Preference-based Reinforcement Learning. CoRR (2024)
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 (2023)
Jiacheng Xu, Chao Chen, Fuxiang Zhang, Lei Yuan, Zongzhang Zhang, Yang Yu
Internal Logical Induction for Pixel-Symbolic Reinforcement Learning. KDD (2023)
Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. ICML (2023)
Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang
Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning. CoRR (2023)
Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning. CoRR (2023)
Renzhe Zhou, Zongzhang Zhang, Yang Yu
Model-Based Offline Weighted Policy Optimization (Student Abstract). AAAI (2023)
Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations. CoRR (2023)
Weijian Liao, Zongzhang Zhang, Yang Yu
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning. AAAI (2023)
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)
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 (2023)
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 (2023)
Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu
Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract). AAAI (2023)
Lei Yuan, Tao Jiang, Lihe Li, Feng Chen, Zongzhang Zhang, Yang Yu
Robust Multi-agent Communication via Multi-view Message Certification. CoRR (2023)
Lei Yuan, Feng Chen, Zongzhang Zhang, Yang Yu
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation. CoRR (2023)
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 (2023)
Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. CoRR (2023)
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)
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)
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)
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. CoRR (2023)
Fuguang Han, Zongzhang Zhang
Expert Data Augmentation in Imitation Learning (Student Abstract). AAAI (2023)
Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu, Xiaoyang Liu
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract). AAAI (2023)
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)
Di Xue, Lei Yuan, Zongzhang Zhang, Yang Yu
Efficient Multi-Agent Communication via Shapley Message Value. IJCAI (2022)
Chenyang Wu, Tianci Li, Zongzhang Zhang, Yang Yu
Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning. 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)
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)
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)
Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu
Deep Anomaly Detection and Search via Reinforcement Learning. CoRR (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)
Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
Multi-agent Dynamic Algorithm Configuration. 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)
Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu
Multi-agent Dynamic Algorithm Configuration. NeurIPS (2022)
Xiong-Hui Chen, Shengyi Jiang, Feng Xu, Zongzhang Zhang, Yang Yu
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning. NeurIPS (2021)
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)
Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao
Adaptive Online Packing-guided Search for POMDPs. NeurIPS (2021)
Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhaopeng Meng, Tianpei Yang, Yanran Li, Changjie Fan
Efficient policy detecting and reusing for non-stationarity in Markov games. Auton. Agents Multi Agent Syst. 35 (1) (2021)
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)
Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhao-Peng Meng, Xiaotian Hao
Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments. J. Comput. Sci. Technol. 35 (2) (2020)
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)
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 (2020)
Linjing Zhang, Zongzhang Zhang
Double Replay Buffers with Restricted Gradient. ICONIP (2) (2020)
Zhen Wu, Zongzhang Zhang, Xiaofang Zhang
Recency-Weighted Acceleration for Continuous Control Through Deep Reinforcement Learning. ICONIP (2) (2020)
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer. IJCAI (2020)
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. IJCAI (2020)
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)
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 (2020)
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)
Zixuan Chen, Zongzhang Zhang
Deep Recurrent Policy Networks for Planning Under Partial Observability. ICANN (1) (2019)
Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer
Monte Carlo Tree Search for Policy Optimization. IJCAI (2019)
Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer
Monte-Carlo Tree Search for Policy Optimization. CoRR (2019)
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) (2019)
Yishen Wang, Zongzhang Zhang
Experience Selection in Multi-agent Deep Reinforcement Learning. ICTAI (2019)
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 (2018)
Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. PRICAI (2018)
Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents. NeurIPS (2018)
Jiahao Lin, Zongzhang Zhang
ACGAIL: Imitation Learning About Multiple Intentions with Auxiliary Classifier GANs. PRICAI (1) (2018)
Yan Zheng, Jianye Hao, Zongzhang Zhang
Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments. CoRR (2018)
Zhiyuan Pan, Zongzhang Zhang, Zixuan Chen
Asynchronous Value Iteration Network. ICONIP (2) (2018)
Zongzhang Zhang, Zhiyuan Pan, Mykel J. Kochenderfer
Weighted Double Q-learning. IJCAI (2017)
Jianwei Zhai, Quan Liu, Zongzhang Zhang, Shan Zhong, Haijun Zhu, Peng Zhang, Cijia Sun
Deep Q-Learning with Prioritized Sampling. ICONIP (1) (2016)
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)
Zongzhang Zhang, Qi-ming Fu, Xiaofang Zhang, Quan Liu
Reasoning and predicting POMDP planning complexity via covering numbers. Frontiers Comput. Sci. 10 (4) (2016)
Zongzhang Zhang, Quan Liu
Covering Number: Analyses for Approximate Continuous-state POMDP Planning (Extended Abstract). AAMAS (2016)
Shuhua You, Quan Liu, Zongzhang Zhang, Hui Wang, Xiaofang Zhang
Intelligent Model Learning Based on Variance for Bayesian Reinforcement Learning. ICTAI (2015)
Yicheng Zhou, Quan Liu, Qi-ming Fu, Zongzhang Zhang
Trajectory Sampling Value Iteration: Improved Dyna Search for MDPs. AAMAS (2015)
Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai
PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. ICAPS (2015)
Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai
PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces. SOCS (2015)
Zongzhang Zhang, David Hsu, Wee Sun Lee
Covering Number for Efficient Heuristic-based POMDP Planning. ICML (2014)
Aijun Bai, Feng Wu, Zongzhang Zhang, Xiaoping Chen
Thompson Sampling Based Monte-Carlo Planning in POMDPs. ICAPS (2014)
Zongzhang Zhang, Michael L. Littman, Xiaoping Chen
Covering Number as a Complexity Measure for POMDP Planning and Learning. AAAI (2012)
Zongzhang Zhang, Xiaoping Chen
Accelerating Point-Based POMDP Algorithms via Greedy Strategies. SIMPAR (2010)