← authors · overview

• Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
  2017 · 510 citations
• Noisy Networks for Exploration
  2017 · 391 citations
• Deep Q-learning from Demonstrations
  2017 · 307 citations
• 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
• Observe and Look Further: Achieving Consistent Performance on Atari
  2018 · 87 citations
• Acme: A Research Framework for Distributed Reinforcement Learning
  2020 · 73 citations
• Munchausen Reinforcement Learning
  2020 · 37 citations
• Deep Conservative Policy Iteration
  2019 · 29 citations
• Reinforcement Learning
  2020 · 29 citations
• Observational Learning by Reinforcement Learning
  2017 · 27 citations
• CopyCAT: Taking Control of Neural Policies with Constant Attacks
  2019 · 16 citations
• Mean Field Games Flock! The Reinforcement Learning Way
  2021 · 16 citations
• Back to Basics: Revisiting REINFORCE Style Optimization for Learning from Human Feedback in LLMs
  2024 · 16 citations
• Scalable Deep Reinforcement Learning Algorithms for Mean Field Games
  2022 · 13 citations