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Reinforcement Learning with TensorFlow
book

Reinforcement Learning with TensorFlow

by Sayon Dutta
April 2018
Intermediate to advanced content levelIntermediate to advanced
334 pages
10h 18m
English
Packt Publishing
Content preview from Reinforcement Learning with TensorFlow

Transition model

The transition model T(s, a, s') is a function of three variables, which are the current state (s), action (a), and the new state (s'), and defines the rules to play the game in the environment. It gives probability P(s'|s, a), that is, the probability of landing up in the new s' state given that the agent takes an action, a, in given state, s.

The transition model plays the crucial role in a stochastic world, unlike the case of a deterministic world where the probability for any landing state other than the determined one will have zero probability.

Let's consider the following environment (world) and consider different cases, determined and stochastic:

Since the actions  A where, A = {UP, DOWN, RIGHT, and LEFT}.

The ...

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Publisher Resources

ISBN: 9781788835725Supplemental Content