Teaching a Robot to Walk with AI - Introduction to Continuous Control Environments

philoxenic

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25 Sep 2020CPOL6 min read

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In this article, we set up with the Bullet physics simulator as a basis for doing some reinforcement learning in continuous control environments.

Here we look at bullet CartPole environment with DQN, a Python script for training an agent in PyBullet’s CartPole environment, bullet CartPole Environment With PPO, and continuous CartPole environment with PPO.

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

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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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philoxenic

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Teaching a Robot to Walk with AI - Introduction to Continuous Control Environments

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