We introduce a novel framework for analyzing reinforcement learning (RL) in continuous state-action spaces, and use it to prove fast rates of convergence in both

Feb-16-2026, 06:18:22 GMT–Neural Information Processing Systems 

We argue that these properties are satisfied in many continuous state-action Markov decision processes.