Optimizing pre-scheduled, intermittently-observed MDPs.

Patrick Zhong Federico Rossi Dylan A. Shell

Published in: CoRR (2023)

Keyphrases

markov decision processes
reinforcement learning
scheduling problem
dynamic programming
state space
partially observed
decision theoretic planning
data sets
linear programming
finite horizon
probabilistic planning