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• Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling
  2019 · 53 citations
• Batch Value-function Approximation with Only Realizability
  2020 · 30 citations
• Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison
  2020 · 16 citations
• Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
  2021 · 16 citations
• Bellman-consistent Pessimism for Offline Reinforcement Learning
  2021 · 16 citations
• Finite Sample Analysis of Minimax Offline Reinforcement Learning: Completeness, Fast Rates and First-Order Efficiency
  2021 · 14 citations
• Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts
  2024 · 10 citations
• A Variant of the Wang-Foster-Kakade Lower Bound for the Discounted Setting
  2020 · 9 citations
• Adversarially Trained Actor Critic for Offline Reinforcement Learning