Sensitivity of Filter Kernels and Robustness Bounds to Transition and Measurement Kernel Perturbations in Partially Observable Stochastic Control

Documenti analoghi

• Refined Bounds on Near Optimality Finite Window Policies in POMDPs and Their Reinforcement Learning
  di: Demirci, Yunus Emre, et al.
  Pubblicazione: (2024)
• Average Cost Optimality of Partially Observed MDPS: Contraction of Non-linear Filters, Optimal Solutions and Approximations
  di: Demirci, Yunus Emre, et al.
  Pubblicazione: (2023)
• Partially Observed Optimal Stochastic Control: Regularity, Optimality, Approximations, and Learning
  di: Kara, Ali Devran, et al.
  Pubblicazione: (2024)
• Q-Learning for Stochastic Control under General Information Structures and Non-Markovian Environments
  di: Kara, Ali Devran, et al.
  Pubblicazione: (2023)
• Near Optimal Approximations and Finite Memory Policies for POMPDs with Continuous Spaces
  di: Kara, Ali Devran, et al.
  Pubblicazione: (2024)