← authors · overview

• Benchmarking Deep Reinforcement Learning for Continuous Control
  2016 · 973 citations
• OpenAI Gym
  2016 · 647 citations
• RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
  2016 · 504 citations
• VIME: Variational Information Maximizing Exploration
  2016 · 378 citations
• #Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
  2016 · 199 citations
• Equivalence Between Policy Gradients and Soft Q-Learning
  2017 · 199 citations
• Quantifying Generalization in Reinforcement Learning
  2018 · 195 citations
• Leveraging Procedural Generation to Benchmark Reinforcement Learning
  2019 · 171 citations
• Model-Based Reinforcement Learning via Meta-Policy Optimization
  2018 · 117 citations
• Gotta Learn Fast: A New Benchmark for Generalization in RL
  2018 · 85 citations
• UCB Exploration via Q-Ensembles
  2017 · 79 citations
• Phasic Policy Gradient
  2020 · 49 citations
• Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark
  2021 · 7 citations