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• Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective
  2020 · 21 citations
• Model-Free Reinforcement Learning with the Decision-Estimation Coefficient
  2022 · 2 citations
• On the Complexity of Multi-Agent Decision Making: From Learning in Games to Partial Monitoring
  2023 · 1 citations
• The Power of Resets in Online Reinforcement Learning
  2024 · 1 citations
• Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF
  2024 · 1 citations
• Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning
  2025
• Outcome-Based Online Reinforcement Learning: Algorithms and Fundamental Limits
  2025
• Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective
  2025
• Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL
  2023
• When is Agnostic Reinforcement Learning Statistically Tractable?
  2023
• Foundations of Reinforcement Learning and Interactive Decision Making
  2023
• Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data
  2024
• Random Latent Exploration for Deep Reinforcement Learning
  2024