On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration

Documenti analoghi

• On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theory
  di: Zhang, Yangchun, et al.
  Pubblicazione: (2024)
• Rethinking Adversarial Inverse Reinforcement Learning: Policy Imitation, Transferable Reward Recovery and Algebraic Equilibrium Proof
  di: Zhang, Yangchun, et al.
  Pubblicazione: (2024)
• LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization
  di: Teng, Yunfei, et al.
  Pubblicazione: (2025)
• MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates
  di: Sun, Yuchang, et al.
  Pubblicazione: (2023)
• Mimicking Better by Matching the Approximate Action Distribution
  di: Ramos, João A. Cândido, et al.
  Pubblicazione: (2023)