Safe Reinforcement Learning in Constrained Markov Decision ProcessesDownload PDFOpen Website

2020 (modified: 07 Oct 2024)ICML 2020Readers: Everyone
Abstract: Safe reinforcement learning has been a promising approach for optimizing the policy of an agent that operates in safety-critical applications. In this paper, we propose an algorithm, SNO-MDP, that ...
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