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• A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning
  2021 · 2 citations
• Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
  2021 · 2 citations
• Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning
  2021 · 1 citations
• CurveRL: Principled Distribution-Aware Context Reweighting for LLM Reasoning
  2026
• Principled Fast and Meta Knowledge Learners for Continual Reinforcement Learning
  2026
• Exploring the Training Robustness of Distributional Reinforcement Learning against Noisy State Observations
  2021
• Distributional Reinforcement Learning with Regularized Wasserstein Loss
  2022
• How Does Return Distribution in Distributional Reinforcement Learning Help Optimization?
  2022