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• Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning
  2022 · 24 citations
• Neural Policy Gradient Methods: Global Optimality and Rates of Convergence
  2019 · 19 citations
• Provably Efficient Causal Reinforcement Learning with Confounded Observational Data
  2020 · 13 citations
• Dynamic Bottleneck for Robust Self-Supervised Exploration
  2021 · 13 citations
• On the Global Optimality of Model-Agnostic Meta-Learning
  2020 · 7 citations
• Principled Exploration via Optimistic Bootstrapping and Backward Induction
  2021 · 7 citations
• Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning
  2020 · 6 citations
• Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach
  2021 · 3 citations
• Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning