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Teaching a Robot to Walk with AI and PyBullet Environments

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28 Sep 2020CPOL2 min read 9.7K   4  
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

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


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