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Chi Jin

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The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces

Jun 07, 2021
Chi Jin, Qinghua Liu, Tiancheng Yu

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Minimax Optimization with Smooth Algorithmic Adversaries

Jun 02, 2021
Tanner Fiez, Chi Jin, Praneeth Netrapalli, Lillian J. Ratliff

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An almost globally convergent observer for visual SLAM without persistent excitation

Apr 07, 2021
Bowen Yi, Chi Jin, Lei Wang, Guodong Shi, Ian R. Manchester

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Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning

Mar 25, 2021
Yaqi Duan, Chi Jin, Zhiyuan Li

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Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games

Feb 23, 2021
Yu Bai, Chi Jin, Huan Wang, Caiming Xiong

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Near-optimal Representation Learning for Linear Bandits and Linear RL

Feb 08, 2021
Jiachen Hu, Xiaoyu Chen, Chi Jin, Lihong Li, Liwei Wang

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Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms

Feb 05, 2021
Chi Jin, Qinghua Liu, Sobhan Miryoosefi

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A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network

Feb 04, 2021
Mo Zhou, Rong Ge, Chi Jin

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Bridging Exploration and General Function Approximation in Reinforcement Learning: Provably Efficient Kernel and Neural Value Iterations

Nov 09, 2020
Zhuoran Yang, Chi Jin, Zhaoran Wang, Mengdi Wang, Michael I. Jordan

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