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• Nearly Minimax Optimal Reinforcement Learning for Linear Markov Decision Processes
  2022 · 4 citations
• Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
  2023 · 2 citations
• Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency
  2023 · 1 citations
• A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
  2023 · 1 citations
• Reinforcement Learning from Human Feedback with Active Queries
  2024
• Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs
  2021
• Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension
  2023
• Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs
  2023
• Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
  2023
• Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
  2024
• Achieving Constant Regret in Linear Markov Decision Processes
  2024