李逸尘
Email: liyc@lamda.nju.edu.cn Laboratory: Room A201, Shaoyifu Building, Nanjing University Xianlin Campus |
Currently I am a graduate student of School of Artificial Intelligence in
Nanjing University and a member of LAMDA Group, led
by professor Zhi-Hua Zhou.
I received my B.Eng. degree in Automation from School of Management and Engineering, Nanjing University in June 2021. In September 2021,
I was admitted to pursue a M.Sc. degree in Nanjing University, under the supervision of Associate Professor
Zongzhang Zhang.
I am interested in theoretically justified algorithms and real-world applications of Reinforcement Learning (RL). When RL ventures beyond game environments, numerous challenging problems may arise, such as the absence of suitable reward functions, the lack of high-fidelity simulators, and the continually evolving environments, to name a few. To deal with the above issues, I am currenly working on
Imitation Learning and Reward Learning
Offline RL and Sim2Real Transfer
Decision Making in Non-stationary Environments
Inspired by the impressive success of ChatGPT, I am also interested in decision making via Large Language Models (LLMs). Please feel free to drop an email if you would like to discuss or collaborate with me.
Chengxing Jia*, Fuxiang Zhang*, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu. Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. In: Proceedings of the 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2024), Auckland, New Zealand, 2024. [PDF] [Code]
Cong Guan, Ruiqi Xue, Ziqian Zhang, Lihe Li, Yi-Chen Li, Lei Yuan, Yang Yu. Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-distribution Online Task Adaptation. In: Proceedings of the 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2024), Auckland, New Zealand, 2024. [PDF] [Code]
Yuhang Ran*, Yi-Chen Li*, Fuxiang Zhang, Zongzhang Zhang, Yang Yu. Policy Regularization with Dataset Constraint for Offline Reinforcement Learning. In: Proceedings of the 40th International Conference on Machine Learning (ICML 2023), Honolulu, HA, 2023. [PDF] [Code]
Fuxiang Zhang*, Chengxing Jia*, Yi-Chen Li, Lei Yuan, Yang Yu, Zongzhang Zhang. Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data. In: Proceedings of the 11th International Conference on Learning Representations (ICLR 2023), 2023. [PDF] [Code]
Yi-Chen Li*, Wen-Jie Shen*, Boyu Zhang, Feng Mao, Yang Yu. Learning Generalizable Batch Active Learning Strategies via Deep Q-Networks (Student Abstract). In: Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023), Washington, DC, USA, 2023. [PDF] [Code]
* These authors contributed equally.
2022/7-2022/9: Internship at Polixir, working for autonomous driving via imitation learning and reinforcement learning.
rlbase, A clean code base for deep reinforcment learning , written in Pytorch.
mllogger, An integrated logger for machine learning experiments.
Huawei Scholarship, 2023
Outstanding Graduated of Nanjing University, 2021
Control Theory and Method. (with Assoc.Prof. Zongzhang Zhang; for undergraduate students, Fall, 2023)
Email:
liyc {AT} lamda.nju.edu.cn
Laboratory:
Room A201, Shaoyifu Building, Xianlin Campus of Nanjing University
Address:
National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(南京市栖霞区仙林大道163号, 南京大学仙林校区, 软件新技术国家重点实验室, 210023.)