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• What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
  2020 · 105 citations
• A Theory of Regularized Markov Decision Processes
  2019 · 90 citations
• Munchausen Reinforcement Learning
  2020 · 37 citations
• CopyCAT: Taking Control of Neural Policies with Constant Attacks
  2019 · 16 citations
• Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
  2022 · 13 citations
• Adversarially Guided Actor-Critic
  2021 · 11 citations
• Concave Utility Reinforcement Learning: the Mean-Field Game Viewpoint
  2021 · 9 citations
• MULEX: Disentangling Exploitation from Exploration in Deep RL
  2019 · 8 citations
• Self-Imitation Advantage Learning
  2020 · 8 citations
• On Connections between Constrained Optimization and Reinforcement Learning
  2019 · 7 citations
• Twice regularized MDPs and the equivalence between robustness and regularization
  2021 · 6 citations
• Show me the Way: Intrinsic Motivation from Demonstrations
  2020 · 5 citations
• Offline Reinforcement Learning with Pseudometric Learning
  2021 · 5 citations
• Extreme Q-Learning: MaxEnt RL without Entropy
  2023 · 5 citations
• Lazy-MDPs: Towards Interpretable Reinforcement Learning by Learning When to Act
  2022 · 4 citations