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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

Monte Carlo learning

Monte Carlo is the simplest approach for model free learning, where the agent observes rewards for all steps ahead in an episode, that is, a full look ahead. Thus, total estimate reward at time t would be  given by:

Here,  is the discount factor and T being the time step when the episode ends. We can initialize the Monte Carlo learning technique using the following code:

Initialize:     i.e. the policy to be evaluated V i.e. ...
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Publisher Resources

ISBN: 9781788835725Supplemental Content