Zongzhang Zhang

According to our database, Zongzhang Zhang authored at least 72 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation.

Lei Yuan, Feng Chen, Zongzhang Zhang, Yang Yu

Frontiers Comput. Sci., December, 2024

Model gradient: unified model and policy learning in model-based reinforcement learning.

Chengxing Jia, Fuxiang Zhang, Tian Xu, Jing-Cheng Pang, Zongzhang Zhang, Yang Yu

Frontiers Comput. Sci., August, 2024

Reinforced In-Context Black-Box Optimization.

Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian

CoRR, 2024

Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics.

Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu

CoRR, 2024

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation.

Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Deep Anomaly Detection via Active Anomaly Search.

Chao Chen, Dawei Wang, Feng Mao, Jiacheng Xu, Zongzhang Zhang, Yang Yu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Multi-Expert Distillation for Few-Shot Coordination (Student Abstract).

Yujian Zhu, Hao Ding, Zongzhang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations.

Renzhe Zhou, Chenxiao Gao, Zongzhang Zhang, Yang Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Generalizable Policy Improvement via Reinforcement Sampling (Student Abstract).

Rui Kong, Chenyang Wu, Zongzhang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning.

Chenxiao Gao, Chenyang Wu, Mingjun Cao, Rui Kong, Zongzhang Zhang, Yang Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning.

Chao Chen, Jiacheng Xu, Weijian Liao, Hao Ding, Zongzhang Zhang, Yang Yu, Rui Zhao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning.

Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang

CoRR, 2023

Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments.

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

CoRR, 2023

Language Model Self-improvement by Reinforcement Learning Contemplation.

Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu, Zongzhang Zhang, Yang Yu

CoRR, 2023

Robust Multi-agent Communication via Multi-view Message Certification.

Lei Yuan, Tao Jiang, Lihe Li, Feng Chen, Zongzhang Zhang, Yang Yu

CoRR, 2023

Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning.

Cong Guan, Feng Chen, Lei Yuan, Zongzhang Zhang, Yang Yu

CoRR, 2023

Internal Logical Induction for Pixel-Symbolic Reinforcement Learning.

Jiacheng Xu, Chao Chen, Fuxiang Zhang, Lei Yuan, Zongzhang Zhang, Yang Yu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Policy Regularization with Dataset Constraint for Offline Reinforcement Learning.

Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu

Proceedings of the International Conference on Machine Learning, 2023

Retrosynthetic Planning with Dual Value Networks.

Guoqing Liu, Di Xue, Shufang Xie, Yingce Xia, Austin Tripp, Krzysztof Maziarz, Marwin H. S. Segler, Tao Qin, Zongzhang Zhang, Tie-Yan Liu

Proceedings of the International Conference on Machine Learning, 2023

Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data.

Fuxiang Zhang, Chengxing Jia, Yi-Chen Li, Lei Yuan, Yang Yu, Zongzhang Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement.

Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Model-Based Offline Weighted Policy Optimization (Student Abstract).

Renzhe Zhou, Zongzhang Zhang, Yang Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract).

Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu, Xiaoyang Liu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning.

Weijian Liao, Zongzhang Zhang, Yang Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract).

Yi-Chen Li, Wen-Jie Shen, Boyu Zhang, Feng Mao, Zongzhang Zhang, Yang Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Expert Data Augmentation in Imitation Learning (Student Abstract).

Fuguang Han, Zongzhang Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Towards Deployment-Efficient and Collision-Free Multi-Agent Path Finding (Student Abstract).

Feng Chen, Chenghe Wang, Fuxiang Zhang, Hao Ding, Qiaoyong Zhong, Shiliang Pu, Zongzhang Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract).

Chao Chen, Dawei Wang, Feng Mao, Zongzhang Zhang, Yang Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Multi-Agent Policy Transfer via Task Relationship Modeling.

Rongjun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Zongzhang Zhang, Chongjie Zhang, Yang Yu

CoRR, 2022

Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning.

Chenyang Wu, Tianci Li, Zongzhang Zhang, Yang Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Multi-agent Communication via Self-supervised Information Aggregation.

Cong Guan, Feng Chen, Lei Yuan, Chenghe Wang, Hao Yin, Zongzhang Zhang, Yang Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-agent Dynamic Algorithm Configuration.

Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Agent Concentrative Coordination with Decentralized Task Representation.

Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Zongzhang Zhang, Chongjie Zhang, Yang Yu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Efficient Multi-Agent Communication via Shapley Message Value.

Di Xue, Lei Yuan, Zongzhang Zhang, Yang Yu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-Agent Incentive Communication via Decentralized Teammate Modeling.

Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu, Chongjie Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy.

Fan-Ming Luo, Shengyi Jiang, Yang Yu, Zongzhang Zhang, Yi-Feng Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Efficient policy detecting and reusing for non-stationarity in Markov games.

Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhaopeng Meng, Tianpei Yang, Yanran Li, Changjie Fan

Auton. Agents Multi Agent Syst., 2021

Adaptive Online Packing-guided Search for POMDPs.

Chenyang Wu, Guoyu Yang, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu, Jianye Hao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning.

Xiong-Hui Chen, Shengyi Jiang, Feng Xu, Zongzhang Zhang, Yang Yu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract).

Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract).

Chenyang Wu, Rui Kong, Guoyu Yang, Xianghan Kong, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Efficient Multiagent Policy Optimization Based on Weighted Estimators in Stochastic Cooperative Environments.

Yan Zheng, Jianye Hao, Zongzhang Zhang, Zhao-Peng Meng, Xiaotian Hao

J. Comput. Sci. Technol., 2020

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer.

Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets.

Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Double Replay Buffers with Restricted Gradient.

Linjing Zhang, Zongzhang Zhang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Recency-Weighted Acceleration for Continuous Control Through Deep Reinforcement Learning.

Zhen Wu, Zongzhang Zhang, Xiaofang Zhang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Efficient Deep Reinforcement Learning through Policy Transfer.

Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Zhaodong Wang, Jiajie Peng

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Generative Adversarial Imitation Learning from Failed Experiences (Student Abstract).

Jiacheng Zhu, Jiahao Lin, Meng Wang, Yingfeng Chen, Changjie Fan, Chong Jiang, Zongzhang Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Third-Person Imitation Learning via Image Difference and Variational Discriminator Bottleneck (Student Abstract).

Chong Jiang, Zongzhang Zhang, Zixuan Chen, Jiacheng Zhu, Junpeng Jiang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation.

Shan Zhong, Quan Liu, Zongzhang Zhang, Qiming Fu

Frontiers Comput. Sci., 2019

Monte Carlo Tree Search for Policy Optimization.

Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Experience Selection in Multi-agent Deep Reinforcement Learning.

Yishen Wang, Zongzhang Zhang

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Deep Recurrent Policy Networks for Planning Under Partial Observability.

Zixuan Chen, Zongzhang Zhang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018

Hierarchical Deep Multiagent Reinforcement Learning.

Hongyao Tang, Jianye Hao, Tangjie Lv, Yingfeng Chen, Zongzhang Zhang, Hangtian Jia, Chunxu Ren, Yan Zheng, Changjie Fan, Li Wang

CoRR, 2018

Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments.

Yan Zheng, Jianye Hao, Zongzhang Zhang

CoRR, 2018

Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments.

Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

ACGAIL: Imitation Learning About Multiple Intentions with Auxiliary Classifier GANs.

Jiahao Lin, Zongzhang Zhang

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents.

Yan Zheng, Zhaopeng Meng, Jianye Hao, Zongzhang Zhang, Tianpei Yang, Changjie Fan

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Asynchronous Value Iteration Network.

Zhiyuan Pan, Zongzhang Zhang, Zixuan Chen

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Weighted Double Q-learning.

Zongzhang Zhang, Zhiyuan Pan, Mykel J. Kochenderfer

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Reasoning and predicting POMDP planning complexity via covering numbers.

Zongzhang Zhang, Qi-ming Fu, Xiaofang Zhang, Quan Liu

Frontiers Comput. Sci., 2016

Policy graph pruning and optimization in Monte Carlo Value Iteration for continuous-state POMDPs.

Weisheng Qian, Quan Liu, Zongzhang Zhang, Zhiyuan Pan, Shan Zhong

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Deep Q-Learning with Prioritized Sampling.

Jianwei Zhai, Quan Liu, Zongzhang Zhang, Shan Zhong, Haijun Zhu, Peng Zhang, Cijia Sun

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Covering Number: Analyses for Approximate Continuous-state POMDP Planning (Extended Abstract).

Zongzhang Zhang, Quan Liu

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Intelligent Model Learning Based on Variance for Bayesian Reinforcement Learning.

Shuhua You, Quan Liu, Zongzhang Zhang, Hui Wang, Xiaofang Zhang

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Trajectory Sampling Value Iteration: Improved Dyna Search for MDPs.

Yicheng Zhou, Quan Liu, Qi-ming Fu, Zongzhang Zhang

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

PLEASE: Palm Leaf Search for POMDPs with Large Observation Spaces.

Zongzhang Zhang, David Hsu, Wee Sun Lee, Zhan Wei Lim, Aijun Bai

Proceedings of the Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015

2014

Covering Number for Efficient Heuristic-based POMDP Planning.

Zongzhang Zhang, David Hsu, Wee Sun Lee

Proceedings of the 31th International Conference on Machine Learning, 2014

Thompson Sampling Based Monte-Carlo Planning in POMDPs.

Aijun Bai, Feng Wu, Zongzhang Zhang, Xiaoping Chen

Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

2012

FHHOP: A Factored Hybrid Heuristic Online Planning Algorithm for Large POMDPs.

Zongzhang Zhang, Xiaoping Chen

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Covering Number as a Complexity Measure for POMDP Planning and Learning.

Zongzhang Zhang, Michael L. Littman, Xiaoping Chen

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2010

Accelerating Point-Based POMDP Algorithms via Greedy Strategies.

Zongzhang Zhang, Xiaoping Chen

Proceedings of the Simulation, Modeling, and Programming for Autonomous Robots, 2010