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Author

Zongzhang Zhang

Observed names: Zhang, ZongZhang, Zhang, Zongzhang, ZongZhang Zhang
Observed institutions: University of Science and Technology of China, National University of Singapore, Xavier University, Soochow University, Alibaba Group (China), Nanjing University
ORCID: 0000-0002-9238-4747
Observed ORCID: 0000-0002-9238-4747
OpenAlex ID: A5035138959
Weighted Double Q-learning
2017 · Zongzhang Zhang, Zhiyuan Pan, et al. · International Joint Conference on Artificial Intelligence · 98
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Multi-Agent Incentive Communication via Decentralized Teammate Modeling
2022 · Lei Yuan, Jianhao Wang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 78
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents
2018 · Yan Zheng, Zhaopeng Meng, et al. · neural information processing systems · 53
Robust cooperative multi-agent reinforcement learning via multi-view message certification
2024 · Lei Yuan, Tao Jiang, et al. · Science China Information Sciences · 41
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Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments
2018 · Yan Zheng, Zhaopeng Meng, et al. · Lecture notes in computer science · 40
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Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
2020 · Tianpei Yang, Jianye Hao, et al. · International Joint Conference on Artificial Intelligence · 37
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Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets
2020 · Cong Fei, Bin Wang, et al. · International Joint Conference on Artificial Intelligence · 34
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Hierarchical Deep Multiagent Reinforcement Learning with Temporal Abstraction
2018 · Tang, Hongyao, Hao, Jianye, et al. · arXiv (Cornell University) · 33
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Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy
2022 · Fan-Ming Luo, Shengyi Jiang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 28
Deep Q-Learning with Prioritized Sampling
2016 · Jianwei Zhai, Quan Liu, et al. · Lecture notes in computer science · 27
Multi-Agent Dynamic Algorithm Configuration
2022 · Ke Xue, Jiacheng Xu, et al. · neural information processing systems · 23
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Multi-agent policy transfer via task relationship modeling
2024 · Rongjun Qin, Feng Chen, et al. · Science China Information Sciences · 20
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Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation
2023 · Lei Yuan, Feng Chen, et al. · Frontiers of Computer Science · 18
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Multi-Agent Concentrative Coordination with Decentralized Task Representation
2022 · Lei Yuan, Chenghe Wang, et al. · International Joint Conference on Artificial Intelligence · 16
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Efficient policy detecting and reusing for non-stationarity in Markov games
2020 · Yan Zheng, Jianye Hao, et al. · Autonomous Agents and Multi-Agent Systems · 16
Hierarchical Deep Multiagent Reinforcement Learning
2018 · Hongyao Tang, Jianye Hao, et al. · arXiv (Cornell University) · 16
Covering Number for Efficient Heuristic-based POMDP Planning
2014 · Zongzhang Zhang, David Hsu, et al. · 16
Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations
2024 · Renzhe Zhou, Chen-Xiao Gao, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 15
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ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning
2024 · Chen-Xiao Gao, Chenyang Wu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 14
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Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation
2018 · Shan Zhong, Quan Liu, et al. · Frontiers of Computer Science · 14
ACGAIL: Imitation Learning About Multiple Intentions with Auxiliary Classifier GANs
2018 · Jiahao Lin, Zongzhang Zhang · Lecture notes in computer science · 14
Thompson Sampling Based Monte-Carlo Planning in POMDPs
2014 · Aijun Bai, Feng Wu, et al. · Proceedings of the International Conference on Automated Planning and Scheduling · 14
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Efficient Communication via Self-Supervised Information Aggregation for Online and Offline Multiagent Reinforcement Learning
2024 · Cong Guan, Feng Chen, et al. · IEEE Transactions on Neural Networks and Learning Systems · 12
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Experience Selection in Multi-agent Deep Reinforcement Learning
2019 · Yishen Wang, Zongzhang Zhang · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · 12
Policy Regularization with Dataset Constraint for Offline Reinforcement Learning
2023 · Ran, Yuhang, Li, Yi-Chen, et al. · arXiv (Cornell University) · 11
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Works count: 126
Citation count: 876
H-index: 16
I10-index: 28
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