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Teaching a Robot to Walk with AI and PyBullet Environments

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28 Sep 2020CPOL2 min read
In this article, we look at two of the simpler locomotion environments that PyBullet makes available and train agents to solve them.
Here we look at the Hopper environment which represents a single disembodied leg, training with SAC in the Hopper environment, and we train a simple four-legged creature to scuttle off at speed without falling over.


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This article is part of the series 'Teach a Robot to Walk Deep Reinforcement Learning View All


This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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