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Understanding Markov Decision Processes by Mamunur Rashid is a document available to read on EtoBox.
What is Understanding Markov Decision Processes about?
This document discusses Markov decision processes (MDPs) and solving them using techniques like expectimax search. It provides an example of an MDP called Grid World that involves an agent moving in a grid with the possibility of noisy or stochastic movement. MDPs are non-deterministic search problems that can be solved using expectimax search. The goal is to find an optimal policy that maximizes expected utility or rewards over time. Discounting future rewards is important to prefer rewards received sooner
- Author
- Mamunur Rashid
- Language
- EN