The Value Functions of Markov Decision Processes
Ehud Lehrer, Eilon Solan, Omri N. Solan
TL;DR
This paper fully characterizes the set of value functions in Markov decision processes, providing a comprehensive theoretical understanding of their structure.
Contribution
It offers a complete theoretical characterization of the value functions in MDPs, advancing the foundational understanding of their properties.
Findings
Complete set of value functions characterized
Theoretical framework established for MDP value functions
Implications for optimization and decision-making
Abstract
We provide a full characterization of the set of value functions of Markov decision processes.
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