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Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2022.3217269
Abstract: We study policy optimization problems for deterministic Markov decision processes (MDPs) with metric state and action spaces, which we refer to as metric policy optimization problems (MPOPs). Our goal is to establish theoretical results on…
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Keywords:
metric policy;
compactly restrictable;
policy optimization;
optimization problems ... See more keywords