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News/Continuous-time reinforcement learning: ellipticity enables model-free value function approximation
arxiv
PublishedApril 18, 2026 at 4:00 AM
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Continuous-time reinforcement learning: ellipticity enables model-free value function approximation

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Publisher summary· verbatim

arXiv:2602.06930v2 Announce Type: replace Abstract: We study off-policy reinforcement learning for controlling continuous-time Markov diffusion processes with discrete-time observations and actions. We consider model-free algorithms with function approximation that learn value and advantage function

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#reinforcement-learning#markov-diffusions#function-approximation

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