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• Reward-Free Exploration for Reinforcement Learning
  2020 · 26 citations
• Corruption-robust exploration in episodic reinforcement learning
  2019 · 18 citations
• Constrained episodic reinforcement learning in concave-convex and knapsack settings
  2020 · 14 citations
• Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes
  2022 · 5 citations
• Do Differentiable Simulators Give Better Policy Gradients?
  2022 · 5 citations
• Beyond No Regret: Instance-Dependent PAC Reinforcement Learning
  2021 · 4 citations
• First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach
  2021 · 3 citations
• Task-Optimal Exploration in Linear Dynamical Systems
  2021 · 1 citations
• Diffusion Policy Policy Optimization
  2024 · 1 citations
• Exploration and Incentives in Reinforcement Learning
  2021