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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

How is reinforcement learning better?

Earlier, with online case-based planning, human traces provided by experts were the most important component in the learning process. These were provided by the experts to create a list of solutions. This created the case base and consumed high space storage. Moreover, it also came with a demerit that they didn't capture all possible traces, that is, combinations of states and actions specifically in case of continuous state-action spaces.

However, with reinforcement learning, storage of these traces is not required and moreover, the high dimensional and continuous state-action spaces can deal with a deep neural network, which incorporates them as input and outputs the optimal actions. Moreover, if the ...

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Publisher Resources

ISBN: 9781788835725Supplemental Content