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• Distributional Reinforcement Learning for Efficient Exploration
  2019 · 30 citations
• Deep Reinforcement Learning with Decorrelation
  2019 · 7 citations
• QUOTA: The Quantile Option Architecture for Reinforcement Learning
  2018 · 4 citations
• 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
• 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