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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

The policy model for optimality

Policy is defined as the model that guides the agent with action selection in different states. Policy is denoted as . is basically the probability of a certain action given a particular state:

Thus, a policy map will provide the set of probabilities of different actions given a particular state. The policy along with the value function create a solution that helps in agent navigation as per the policy and the ...

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Publisher Resources

ISBN: 9781788835725Supplemental Content