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• RLlib: Abstractions for Distributed Reinforcement Learning
  2017 · 332 citations
• Ray: A Distributed Framework for Emerging AI Applications
  2017 · 253 citations
• Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning
  2018 · 169 citations
• Multi-Level Discovery of Deep Options
  2017 · 70 citations
• AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning
  2020 · 21 citations
• Accelerating Quadratic Optimization with Reinforcement Learning
  2021 · 20 citations
• A View on Deep Reinforcement Learning in System Optimization
  2019 · 18 citations
• IMPACT: Importance Weighted Asynchronous Architectures with Clipped Target Networks
  2019 · 8 citations
• Neural Packet Classification
  2019 · 5 citations
• MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance