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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

Summary

In this chapter, we covered the most famous algorithms in reinforcement learning, the policy gradients and actor-critic algorithms. There is a lot of research going on in developing policy gradients to benchmark better results in reinforcement learning. Further study of policy gradients include Trust Region Policy Optimization (TRPO), Natural Policy Gradients, and Deep Dependency Policy Gradients (DDPG), which are beyond the scope of this book. 

In the next chapter, we will take a look at the building blocks of Q-Learning, applying deep neural networks, and many more techniques. 

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Publisher Resources

ISBN: 9781788835725Supplemental Content