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• A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes
  2023 · 7 citations
• A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning
  2021 · 2 citations
• Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation
  2022 · 2 citations
• Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game
  2022 · 2 citations
• GEC: A Unified Framework for Interactive Decision Making in MDP, POMDP, and Beyond
  2022 · 2 citations
• Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
  2023 · 2 citations
• Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
  2024 · 1 citations
• A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
  2023 · 1 citations
• Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret