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arXiv Machine Learning By Hamish Flynn, Joe Watson, Ingmar Posner, Jan Peters

Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces

Read the original on arXiv Machine Learning →

arXiv:2603. 08287v2 Announce Type: replace-cross Abstract: We analyze the Bayesian regret of the Gaussian process posterior sampling reinforcement learning (GP-PSRL) algorithm.

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