Kai Li

Hello there! I'm Kai Li, currently an Associate Professor at the Institute of Automation, Chinese Academy of Sciences (CASIA), working with Prof. Jian Cheng. I received the Ph.D. degree from National Laboratory of Pattern Recognition (NLPR), CASIA in 2018, under the supervision of Prof. Weiming Hu and Prof. Junliang Xing. Before that, I received the B. Eng. degree from Dalian University of Technology (DUT) in 2013.

My research interests include Deep Learning, Reinforcement Learning and Game AI. My current work focuses on foundation decision models, multi-agent deep reinforcement learning, opponent modelling, and imperfect information game solving. In my opinion AGI cannot be achieved without an interdisciplinary approach. My long-term goal is to add some pieces to the puzzle :-) Please do not hesitate to drop me an email if you are interested in working with me.

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Updates:

• 2024.04: One papers accepted at IJCAI 2024.


• 2024.01: Two papers accepted at ICLR 2024.


• 2023.12: One paper accepted at AAAI 2024.


• 2023.09: One paper accepted at NeurIPS 2023.


• 2023.05: One paper accepted at TNNLS.


• 2023.04: One paper accepted at TAI.


• 2023.01: One paper accepted at AAMAS 2023.


• 2022.05: One paper accepted at ICML 2022.


• 2022.02: Our paper won AAAI 2022 Distinguished Paper Award!


• 2022.01: I will give a tutorial on Learning in Sparse Reward and Imperfect Information Games at CoG 2022.


• 2022.01: One paper accepted at ICLR 2022.


• 2021.12: Two papers accepted at AAAI 2022.


• 2021.10: I am honored to receive the Excellence Award of 2020 CCF-Tencent Open Research Fund (2020 CCF-腾讯犀牛鸟基金优秀奖).


• 2020.12: One paper accepted at AAAI 2021.


• 2020.07: I was fortunate enough to receive the 2020 CCF-Tencent Open Research Fund.


• 2020.04: One paper accepted at IJCAI 2020.