Robust cooperative multi-agent reinforcement learning via multi-view message certification von Yuan, Lei, Jiang, Tao, Li, Lihe, Chen, Feng, Zhang, Zongzhang, Yu, Yang

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Surfing Information: The Challenge of Intelligent Decision-Making von Wu, Chenyang, Zhang, Zongzhang

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Efficient policy detecting and reusing for non-stationarity in Markov games von Zheng, Yan, Hao, Jianye, Zhang, Zongzhang, Meng, Zhaopeng, Yang, Tianpei, Li, Yanran, Fan, Changjie

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Reasoning and predicting POMDP planning complexity via covering numbers von ZHANG, Zongzhang, FU, Qiming, ZHANG, Xiaofang, LIU, Quan

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Efficient Communication via Self-Supervised Information Aggregation for Online and Offline Multiagent Reinforcement Learning von Guan, Cong, Chen, Feng, Yuan, Lei, Zhang, Zongzhang, Yu, Yang

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Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation von YUAN, Lei, CHEN, Feng, ZHANG, Zongzhang, YU, Yang

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Model gradient: unified model and policy learning in model-based reinforcement learning von Jia, Chengxing, Zhang, Fuxiang, Xu, Tian, Pang, Jing-Cheng, Zhang, Zongzhang, Yu, Yang

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Multi-agent policy transfer via task relationship modeling von Qin, Rongjun, Chen, Feng, Wang, Tonghan, Yuan, Lei, Wu, Xiaoran, Kang, Yipeng, Zhang, Zongzhang, Zhang, Chongjie, Yu, Yang

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Asynchronous Value Iteration Network von Pan, Zhiyuan, Zhang, Zongzhang, Chen, Zixuan

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Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation von ZHONG, Shan, LIU, Quan, ZHANG, Zongzhang, FU, Qiming

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Double Replay Buffers with Restricted Gradient von Zhang, Linjing, Zhang, Zongzhang

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ACGAIL: Imitation Learning About Multiple Intentions with Auxiliary Classifier GANs von Lin, Jiahao, Zhang, Zongzhang

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Weighted Double Deep Multiagent Reinforcement Learning in Stochastic Cooperative Environments von Zheng, Yan, Meng, Zhaopeng, Hao, Jianye, Zhang, Zongzhang

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Deep Recurrent Policy Networks for Planning Under Partial Observability von Chen, Zixuan, Zhang, Zongzhang

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Recency-Weighted Acceleration for Continuous Control Through Deep Reinforcement Learning von Wu, Zhen, Zhang, Zongzhang, Zhang, Xiaofang

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Accelerating Point-Based POMDP Algorithms via Greedy Strategies von Zhang, Zongzhang, Chen, Xiaoping

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Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations von Zhou, Renzhe, Gao, Chen-Xiao, Zhang, Zongzhang, Yu, Yang

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Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay von Chen, Feng, Han, Fuguang, Guan, Cong, Yuan, Lei, Zhang, Zhilong, Yu, Yang, Zhang, Zongzhang

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Deep Q-Learning with Prioritized Sampling von Zhai, Jianwei, Liu, Quan, Zhang, Zongzhang, Zhong, Shan, Zhu, Haijun, Zhang, Peng, Sun, Cijia

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Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning von Guan, Cong, Chen, Feng, Yuan, Lei, Zhang, Zongzhang, Yu, Yang

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