Documenti analoghi

• On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling
  di: Corrado, Nicholas E., et al.
  Pubblicazione: (2023)
• Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies
  di: Corrado, Nicholas E., et al.
  Pubblicazione: (2025)
• Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning Updates
  di: Corrado, Nicholas E., et al.
  Pubblicazione: (2023)
• Reinforcement Learning via Auxiliary Task Distillation
  di: Harish, Abhinav Narayan, et al.
  Pubblicazione: (2024)
• Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning
  di: Corrado, Nicholas E., et al.
  Pubblicazione: (2023)