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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 Monte Carlo policy gradient

In the Monte Carlo policy gradient approach, we update the parameters by the stochastic gradient ascent method, using the update as per policy gradient theorem and  as an unbiased sample of . Here,  is the cumulative reward from that time-step onward.

The Monte Carlo policy gradient approach is as follows:

Initialize  arbitrarilyfor each episode as per the current policy  do    for step t=1 to T-1 do            end forend for ...
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Publisher Resources

ISBN: 9781788835725Supplemental Content