Chi Jin

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 23

Top Topics

Maximum Likelihood Estimation

Reinforcement Learning

Partially Observable

Covariate Shift

Top Venues

Publications

Jiawei Ge, Shange Tang, Jianqing Fan, Chi Jin
On the Provable Advantage of Unsupervised Pretraining. ICLR (2024)
Jiawei Ge, Yuanhao Wang, Wenzhe Li, Chi Jin
Towards Principled Superhuman AI for Multiplayer Symmetric Games. CoRR (2024)
Jiachen Hu, Qinghua Liu, Chi Jin
On Limitation of Transformer for Learning HMMs. CoRR (2024)
Wenzhe Li, Zihan Ding, Seth Karten, Chi Jin
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning. CoRR (2024)
Jiawei Ge, Shange Tang, Jianqing Fan, Cong Ma, Chi Jin
Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift. ICLR (2024)
Zihan Ding, Chi Jin
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning. ICLR (2024)
Zihan Ding, Chi Jin
Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning. CoRR (2023)
Chi Jin, Zhuoran Yang, Zhaoran Wang, Michael I. Jordan
Provably Efficient Reinforcement Learning with Linear Function Approximation. Math. Oper. Res. 48 (3) (2023)
Yuanhao Wang, Dingwen Kong, Yu Bai, Chi Jin
Learning Rationalizable Equilibria in Multiplayer Games. ICLR (2023)
Qinghua Liu, Gellért Weisz, András György, Chi Jin, Csaba Szepesvári
Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL. CoRR (2023)
Ahmed Khaled, Konstantin Mishchenko, Chi Jin
DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method. NeurIPS (2023)
Ahmed Khaled, Chi Jin
Faster federated optimization under second-order similarity. ICLR (2023)
Yuanhao Wang, Qinghua Liu, Chi Jin
Is RLHF More Difficult than Standard RL? CoRR (2023)
Yuanhao Wang, Qinghua Liu, Yu Bai, Chi Jin
Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation. CoRR (2023)
Hadi Daneshmand, Jason D. Lee, Chi Jin
Efficient displacement convex optimization with particle gradient descent. CoRR (2023)
Zihan Ding, Yuanpei Chen, Allen Z. Ren, Shixiang Shane Gu, Hao Dong, Chi Jin
Learning a Universal Human Prior for Dexterous Manipulation from Human Preference. CoRR (2023)
Yuanhao Wang, Qinghua Liu, Chi Jin
Is RLHF More Difficult than Standard RL? A Theoretical Perspective. NeurIPS (2023)
Yuanhao Wang, Qinghua Liu, Yu Bai, Chi Jin
Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation. COLT (2023)
Hadi Daneshmand, Jason D. Lee, Chi Jin
Efficient displacement convex optimization with particle gradient descent. ICML (2023)
Qinghua Liu, Gellért Weisz, András György, Chi Jin, Csaba Szepesvári
Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL. NeurIPS (2023)
Qinghua Liu, Praneeth Netrapalli, Csaba Szepesvári, Chi Jin
Optimistic MLE: A Generic Model-Based Algorithm for Partially Observable Sequential Decision Making. STOC (2023)
Yu Bai, Chi Jin, Song Mei, Ziang Song, Tiancheng Yu
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent. NeurIPS (2022)
Qinghua Liu, Csaba Szepesvári, Chi Jin
Sample-Efficient Reinforcement Learning of Partially Observable Markov Games. NeurIPS (2022)