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Hands-On Reinforcement Learning with Python
book

Hands-On Reinforcement Learning with Python

by Sudharsan Ravichandiran
June 2018
Intermediate to advanced content levelIntermediate to advanced
318 pages
9h 24m
English
Packt Publishing
Content preview from Hands-On Reinforcement Learning with Python

Driving up a mountain with A3C

Let's understand A3C with a mountain car example. Our agent is the car and it is placed between two mountains. The goal of our agent is to drive up the mountain on the right. However, the car can't drive up the mountain in one pass; it has to drive up back and forth to build the momentum. A high reward will be assigned if our agent spends less energy on driving up. Credits for the code used in this section goes to Stefan Boschenriedter (https://github.com/stefanbo92/A3C-Continuous). The environment is shown as follows:

Okay, let's get to the coding! The complete code is available as the Jupyter notebook with ...

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Publisher Resources

ISBN: 9781788836524Supplemental Content