← authors · overview

• MOPO: Model-based Offline Policy Optimization
  2020 · 218 citations
• Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
  2018 · 101 citations
• Model-based Adversarial Meta-Reinforcement Learning
  2020 · 15 citations
• Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification
  2021 · 9 citations
• Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations
  2021 · 8 citations
• A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning
  2019 · 7 citations
• DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization
  2021 · 6 citations
• Learning Self-Correctable Policies and Value Functions from Demonstrations with Negative Sampling
  2019 · 4 citations
• On the Expressivity of Neural Networks for Deep Reinforcement Learning
  2019 · 1 citations
• STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving
  2025