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Compactly Restrictable Metric Policy Optimization Problems
[article]
2022
arXiv
pre-print
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 the well-posedness of MPOPs that can characterize practically relevant continuous control systems. To do so, we define a special class of MPOPs called Compactly Restrictable MPOPs (CR-MPOPs), which are flexible enough to capture the complex behavior of
arXiv:2207.05850v1
fatcat:zn5jjpq4jzbpjgrnxifnvklodq