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• Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity
  2022 · 8 citations
• Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity
  2022 · 8 citations
• Settling the Sample Complexity of Model-Based Offline Reinforcement Learning
  2022 · 7 citations
• Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation
  2022 · 4 citations
• Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
  2021 · 2 citations
• Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation
  2023 · 2 citations
• Offline Reinforcement Learning with On-Policy Q-Function Regularization
  2023 · 2 citations
• Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization
  2024 · 2 citations
• Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning