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Teach a Robot to Walk Deep Reinforcement Learning

  1. 0

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

    In this article, we set up with the Bullet physics simulator as a basis for doing some reinforcement learning in continuous control environments.
    Added 28 Sep 2020
  2. 1

    Teaching a Robot to Walk with AI and PyBullet Environments

    In this article, we look at two of the simpler locomotion environments that PyBullet makes available and train agents to solve them.
    Added 28 Sep 2020
  3. 2

    Training a Humanoid AI Robot to Walk Using Proximal Policy Optimisation (PPO)

    In this article in the series we start to focus on one particular, more complex environment that PyBullet makes available: Humanoid, in which we must train a human-like agent to walk on two legs.
    Added 29 Sep 2020
  4. 3

    Training a Humanoid AI Robot to Walk With Soft Actor Critic (SAC)

    In this article we will adapt our code to train the Humanoid environment using a different algorithm: Soft Actor-Critic (SAC).
    Added 30 Sep 2020
  5. 4

    Training a Humanoid AI Robot to Run Backwards

    In this article we will try to train our agent to run backwards instead of forwards.
    Added 1 Oct 2020
  6. 5

    Training a Humanoid AI Robot to Run With a Custom Model

    In article in this series we will look at even deeper customisation: editing the XML-based model of the figure and then training the result.
    Added 2 Oct 2020