June 2018
Intermediate to advanced
318 pages
9h 24m
English
Content preview from Hands-On Reinforcement Learning with Python
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Markov Decision Process
MDP is an extension of the Markov chain. It provides a mathematical framework for modeling decision-making situations. Almost all Reinforcement Learning problems can be modeled as MDP.
MDP is represented by five important elements:
- A set of states
the agent can actually be in. - A set of actions
that can be performed by an agent, for moving from one state to another. - A transition probability (
), which is the probability ...
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