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News/Minimax Regret for Sobolev Kernel-Based Reinforcement Learning
arxiv
PublishedOctober 28, 2026 at 4:00 AM

Minimax Regret for Sobolev Kernel-Based Reinforcement Learning

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arXiv:2610.34045v1 Announce Type: new Abstract: We study the minimax regret rate for episodic kernel-based reinforcement learning, where the expected reward and transition density belong to a Sobolev reproducing kernel Hilbert space, with continuous state and action spaces, and adversarial initial s

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