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You're reading from Reinforcement Learning with TensorFlow

Product typeBook

Published inApr 2018

Reading LevelIntermediate

PublisherPackt

ISBN-139781788835725

Edition1st Edition

Languages

Python

Tools

TensorFlow

Concepts

Reinforcement Learning

Author (1)

Sayon Dutta

Agent learning pong using policy gradients

In this section, we will create a policy network that will take raw pixels from our pong environment that is pong-v0 from OpenAI gym as the input. The policy network is a single hidden layer neural network fully connected to the raw pixels of pong at the input layer and also to the output layer containing a single node returning the probability of the paddle going up. I would like to thank Andrej Karpathy for coming up with a solution to make the agent learn using policy gradients. We will try to implement a similar kind of approach.

A pixel image of size 80*80 in grayscale (we will not use RGB, which would be 80*80*3). Thus, we have a 80*80 grid that is binary and tells us the position of paddles and the ball, which we will feed as an input to the neural network. Thus a neural network would consist of the following:

Input layer (X): 80*80 squashed to 6400*1 that is 6400 nodes
Hidden layer: 200 nodes
Output layer: 1 node

Therefore, the total parameters...

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Reinforcement Learning with TensorFlow

Published in: Apr 2018Publisher: PacktISBN-13: 9781788835725

Author (1)

Sayon Dutta

Sayon Dutta is an Artificial Intelligence researcher and developer. A graduate from IIT Kharagpur, he owns the software copyright for Mobile Irrigation Scheduler. At present, he is an AI engineer at Wissen Technology. He co-founded an AI startup Marax AI Inc., focused on AI-powered customer churn prediction. With over 2.5 years of experience in AI, he invests most of his time implementing AI research papers for industrial use cases, and weightlifting.
Read more about Sayon Dutta

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You're reading from Reinforcement Learning with TensorFlow

Agent learning pong using policy gradients

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Author (1)

Hands-On Reinforcement Learning with Python

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Deep Reinforcement Learning with Python

Hands-On Q-Learning with Python

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Practical Reinforcement Learning

Reinforcement Learning Algorithms with Python

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