More from the Same Authors

• 2021 : The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces »
  Chi Jin · Qinghua Liu · Tiancheng Yu
• 2021 : Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms »
  Chi Jin · Qinghua Liu · Sobhan Miryoosefi
• 2021 : Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games »
  Yu Bai · Chi Jin · Huan Wang · Caiming Xiong
• 2023 Poster: Efficient displacement convex optimization with particle gradient descent »
  Hadi Daneshmand · Jason Lee · Chi Jin
• 2022 Poster: A Simple Reward-free Approach to Constrained Reinforcement Learning »
  Sobhan Miryoosefi · Chi Jin
• 2022 Spotlight: A Simple Reward-free Approach to Constrained Reinforcement Learning »
  Sobhan Miryoosefi · Chi Jin
• 2022 Poster: The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces »
  Chi Jin · Qinghua Liu · Tiancheng Yu
• 2022 Poster: Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits »
  Qinghua Liu · Yuanhao Wang · Chi Jin
• 2022 Poster: Near-Optimal Learning of Extensive-Form Games with Imperfect Information »
  Yu Bai · Chi Jin · Song Mei · Tiancheng Yu
• 2022 Spotlight: Near-Optimal Learning of Extensive-Form Games with Imperfect Information »
  Yu Bai · Chi Jin · Song Mei · Tiancheng Yu
• 2022 Oral: Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits »
  Qinghua Liu · Yuanhao Wang · Chi Jin
• 2022 Spotlight: The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces »
  Chi Jin · Qinghua Liu · Tiancheng Yu
• 2022 Poster: Provable Reinforcement Learning with a Short-Term Memory »
  Yonathan Efroni · Chi Jin · Akshay Krishnamurthy · Sobhan Miryoosefi
• 2022 Spotlight: Provable Reinforcement Learning with a Short-Term Memory »
  Yonathan Efroni · Chi Jin · Akshay Krishnamurthy · Sobhan Miryoosefi
• 2021 : Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games »
  Yu Bai · Chi Jin · Huan Wang · Caiming Xiong
• 2021 Poster: Near-Optimal Representation Learning for Linear Bandits and Linear RL »
  Jiachen Hu · Xiaoyu Chen · Chi Jin · Lihong Li · Liwei Wang
• 2021 Poster: A Sharp Analysis of Model-based Reinforcement Learning with Self-Play »
  Qinghua Liu · Tiancheng Yu · Yu Bai · Chi Jin
• 2021 Poster: Provable Meta-Learning of Linear Representations »
  Nilesh Tripuraneni · Chi Jin · Michael Jordan
• 2021 Spotlight: Provable Meta-Learning of Linear Representations »
  Nilesh Tripuraneni · Chi Jin · Michael Jordan
• 2021 Spotlight: A Sharp Analysis of Model-based Reinforcement Learning with Self-Play »
  Qinghua Liu · Tiancheng Yu · Yu Bai · Chi Jin
• 2021 Spotlight: Near-Optimal Representation Learning for Linear Bandits and Linear RL »
  Jiachen Hu · Xiaoyu Chen · Chi Jin · Lihong Li · Liwei Wang
• 2021 Poster: Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning »
  Yaqi Duan · Chi Jin · Zhiyuan Li
• 2021 Spotlight: Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning »
  Yaqi Duan · Chi Jin · Zhiyuan Li
• 2020 Poster: On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems »
  Tianyi Lin · Chi Jin · Michael Jordan
• 2020 Poster: Reward-Free Exploration for Reinforcement Learning »
  Chi Jin · Akshay Krishnamurthy · Max Simchowitz · Tiancheng Yu
• 2020 Poster: Provable Self-Play Algorithms for Competitive Reinforcement Learning »
  Yu Bai · Chi Jin
• 2020 Poster: Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition »
  Chi Jin · Tiancheng Jin · Haipeng Luo · Suvrit Sra · Tiancheng Yu
• 2020 Poster: Provably Efficient Exploration in Policy Optimization »
  Qi Cai · Zhuoran Yang · Chi Jin · Zhaoran Wang
• 2020 Poster: What is Local Optimality in Nonconvex-Nonconcave Minimax Optimization? »
  Chi Jin · Praneeth Netrapalli · Michael Jordan