Almost Sure Convergence Rates and Concentration of Stochastic Approximation and Reinforcement Learning with Markovian Noise

Documenti analoghi

• Almost Sure Convergence Rates of Stochastic Approximation and Reinforcement Learning via a Poisson-Moreau Drift
  di: Liu, Xinyu, et al.
  Pubblicazione: (2026)
• Extensions of Robbins-Siegmund Theorem with Applications in Reinforcement Learning
  di: Liu, Xinyu, et al.
  Pubblicazione: (2025)
• Asymptotic and Finite Sample Analysis of Nonexpansive Stochastic Approximations with Markovian Noise
  di: Blaser, Ethan, et al.
  Pubblicazione: (2024)
• Almost Sure Convergence Analysis of Differentially Private Stochastic Gradient Methods
  di: Mukherjee, Amartya, et al.
  Pubblicazione: (2025)
• Almost Sure Convergence of Stochastic Approximation: An Interplay of Noise and Step Size
  di: Nguyen, Quang Dinh Thien, et al.
  Pubblicazione: (2026)