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About Instructor (Andrew NG) :okay, Good Morning. Welcome Back. So I Hope All of You Had
This document summarizes an instructor's lecture on reinforcement learning and continuous state Markov decision processes (MDPs). The instructor will focus on algorithms for solving continuous state MDPs, including fitted value iteration and approximate policy iteration. They first recap MDP notation and algorithms covered previously, including value iteration and policy iteration. The lecture will build on these algorithms and discuss how to handle continuous state spaces.
Detailed Information
| Author: | ['Sethu S'] |
|---|---|
| Publication Year: | 2013 |
| Pages: | 14 |
| Language: | English |
| Format: | |
| Price: | FREE |
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