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• Lipschitz Continuity in Model-based Reinforcement Learning
  2018 · 37 citations
• Combating the Compounding-Error Problem with a Multi-step Model
  2019 · 27 citations
• Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
  2019 · 13 citations
• Equivalence Between Wasserstein and Value-Aware Loss for Model-based Reinforcement Learning
  2018 · 9 citations
• Towards a Simple Approach to Multi-step Model-based Reinforcement Learning
  2018 · 6 citations
• Learning to Generate Better Than Your LLM
  2023 · 4 citations
• Interactive Learning from Activity Description
  2021 · 3 citations
• Towards Principled Representation Learning From Videos For Reinforcement Learning
  2024 · 1 citations
• Provable RL with Exogenous Distractors via Multistep Inverse Dynamics
  2021 · 1 citations
• Provable Safe Reinforcement Learning with Binary Feedback
  2022 · 1 citations
• Survival Instinct in Offline Reinforcement Learning
  2023 · 1 citations
• Policy Improvement using Language Feedback Models
  2024 · 1 citations
• Dataset Reset Policy Optimization for RLHF
  2024 · 1 citations
• Provably Sample-Efficient RL with Side Information about Latent Dynamics
  2022
• Sample-Efficient Reinforcement Learning in the Presence of Exogenous Information
  2022