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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

Why reinforcement learning?

The reason why reinforcement learning stands out relative to other AI approaches are as follows:

  • Avoids hand coded rule-based approach.
  • Reinforcement learning doesn't require any need to store the game's specific rules. A reinforcement learning agent learns over multiple interactions and reinforces its understanding to act in an environment each time it interacts with the environment.
  • For high-dimensional state-action spaces, a neural network can be used as a function approximator to derive optimal actions.
  • Always explores different policies to find the optimal one.
  • Reinforcement learning has been applied to various domains that require state-action planning, such as robotics, self driving cars, and so on.
  • Moreover, ...
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Publisher Resources

ISBN: 9781788835725Supplemental Content