IE 642 Markovian Decision Processes
Credit Information:
(3+0+0) 3
Description:
Markov processes with rewards; value-iteration method for the solution of sequential decision processes; policy iteration method for the solution of sequential decision processes; Markovian decision processes with and without discounting; dynamic programming viewpoint of Markovian decision processes.
Prerequisite:
IE 505 or instructor's consent.
