How Does Return Distribution in Distributional Reinforcement Learning Help Optimization?

Documenti analoghi

• Distributional Reinforcement Learning with Regularized Wasserstein Loss
  di: Sun, Ke, et al.
  Pubblicazione: (2022)
• Intrinsic Benefits of Categorical Distributional Loss: Uncertainty-aware Regularized Exploration in Reinforcement Learning
  di: Sun, Ke, et al.
  Pubblicazione: (2021)
• When and How Does In-Distribution Label Help Out-of-Distribution Detection?
  di: Du, Xuefeng, et al.
  Pubblicazione: (2024)
• Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks
  di: Shi, Enze, et al.
  Pubblicazione: (2025)
• How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
  di: Du, Xuefeng, et al.
  Pubblicazione: (2024)