(Multi-agent) Reinforcement learning / Multi-agent systems / Game AI / Game theory
Weizhe Chen*, Zihan Zhou*, Yi Wu, Fei Fang. “Temporal Induced Self-Play for Stochastic Bayesian Games”. (* equal contributions)
🤜 Accepted by IJCAI 2021. [Arxiv]
Qian Long*, Zihan Zhou*, Abhinav Gupta, Fei Fang, Yi Wu†, and Xiaolong Wang†. “Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning”. (* equal contributions, † equal advising)
🤜 Accepted by ICLR 2020. [Arxiv] [OpenReview]
Zihan Zhou, Zheyuan Ryan Shi, Fei Fang, Yi Wu. “Approximated Temporal-Induced Neural Self-Play for Finitely Repeated Bayesian Games”.
🤜 Accepted by AAAI 2020 Workshop on Reinforcement Learning in Games (Oral presentation). [Paper]
Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, and Zhenhui Li. “CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario”.
🤜 Accepted by WWW 2019 Demonstration. [Website] [Arxiv]
Xuehui Sun, Zihan Zhou, Yuda Fan. “Image Based Review Text Generation with Emotional Guidance”.
🤜 Preprint. [Arxiv]