New Study Establishes Finite-Time Convergence and Regret Guarantees for Neural RL in POMDPs
A new arXiv paper presents finite-time convergence and regret guarantees for neural reinforcement learning in partially observable Markov decision processes, addressing challenges from long-range dependencies.
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- 2026-11-06 05:00 · arXiv cs.LG
Finite-Time Convergence and Regret Guarantees for Neural Reinforcement Learning in POMDPs