Lecture Notes on Partially Known MDPs
Artificial Intelligence
2022-06-22 v2 Formal Languages and Automata Theory
Abstract
In these notes we will tackle the problem of finding optimal policies for Markov decision processes (MDPs) which are not fully known to us. Our intention is to slowly transition from an offline setting to an online (learning) setting. Namely, we are moving towards reinforcement learning.
Cite
@article{arxiv.2112.02976,
title = {Lecture Notes on Partially Known MDPs},
author = {Guillermo A. Perez},
journal= {arXiv preprint arXiv:2112.02976},
year = {2022}
}