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Hands-On Neuroevolution with Python.

You're reading from  Hands-On Neuroevolution with Python.

Product type Book
Published in Dec 2019
Publisher Packt
ISBN-13 9781838824914
Pages 368 pages
Edition 1st Edition
Languages
Author (1):
Iaroslav Omelianenko Iaroslav Omelianenko
Profile icon Iaroslav Omelianenko

Table of Contents (18) Chapters

Preface Section 1: Fundamentals of Evolutionary Computation Algorithms and Neuroevolution Methods
Overview of Neuroevolution Methods Python Libraries and Environment Setup Section 2: Applying Neuroevolution Methods to Solve Classic Computer Science Problems
Using NEAT for XOR Solver Optimization Pole-Balancing Experiments Autonomous Maze Navigation Novelty Search Optimization Method Section 3: Advanced Neuroevolution Methods
Hypercube-Based NEAT for Visual Discrimination ES-HyperNEAT and the Retina Problem Co-Evolution and the SAFE Method Deep Neuroevolution Section 4: Discussion and Concluding Remarks
Best Practices, Tips, and Tricks Concluding Remarks Other Books You May Enjoy

Running the Frostbite Atari experiment

Now that we have discussed all the particulars of the experiment's implementation, it is time to run the experiment. However, the first thing we need to do is create an appropriate work environment, which we'll discuss next.

Setting up the work environment

The work environment for training the agent to play Atari games assumes that a large controller ANN needs to be trained in the process. We already stated that the controller ANN has more than 4 million training parameters and requires a lot of computational resources to be able to evaluate. Fortunately, modern GPU accelerators allow the execution of massive parallel computations simultaneously. This feature is convenient...

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