My current research interests broadly include Deep RL, and Embodied AI.
I am the Team Lead of Team GauchoAI. We won the 2nd place🥈 at the Alexa Prize SimBot Challenge! We made it to the final phase by ranking No.1 on the leaderboard!
My last project designed a closed-form solution to the policy improvement step for Offline RL.
I am open to collaboration on any research problem that will reveal new insights to the Machine Learning community.
Publications on AI/ML
Mastering Robot Manipulation with Multimodal Prompts Through Pretraining and Multi-task Finetuning
In Submission [arxiv]
Jiachen Li, Qiaozi Gao, Michael Johnston, Xiaofeng Gao, Xuehai He, Suhaila Shakiah, Hangjie Shi, Reza Ghanadan, William Yang Wang
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
ICML 2023 [arxiv]
Offline RL Workshop at NeurIPS, 2022
Jiachen Li*, Edwin Zhang*, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang
Causal Balancing for Domain Generalization
ICLR 2023 [PDF]
ICML 2022 Workshop on Spurious Correlations, Invariance, and Stability
Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction
Deep RL workshop, NeurIPS 2022 [PDF]
Jiachen Li, Shuo Cheng, Zhenyu Liao, Huayan Wang, William Yang Wang, Qinxun Bai
Publications on Wireless Communications during undergrad
Robust Radio Mode Selection in Wirelessly Powered Communications with Uncertain Channel Information
in Proceedings of IEEE GLOBECOM, 2017 [PDF]
Jiachen Li, Jing Xu, Shiming Gong, Xiaoxia Huang, Ping Wang