arxiv
PublishedMay 26, 2026 at 4:00 AM
—neutral
Reinforcement Learning for Reachability: Guaranteeing Asymptotic Optimality
Publisher summary· verbatim
arXiv:2605.24740v1 Announce Type: new Abstract: Reinforcement learning (RL) for reachability specifications is fundamental in sequential decision-making, yet theoretical guarantees remain less explored. A recent work achieves asymptotic convergence to optimal policies. However, this approach provide
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Originally published on arxiv ↗