Deepbots 1.0 release: Reinforcement Learning in Webots

This page summarizes the projects mentioned and recommended in the original post on /r/Webots

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  • deepbots

    A wrapper framework for Reinforcement Learning in the Webots robot simulator using Python 3.

    Hello folks! We are happy to inform you that a month ago deepbots had its 1.0 release.

  • Scout Monitoring

    Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.

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  • deepbots-tutorials

    Tutorials for the deepbots framework https://github.com/aidudezzz/deepbots

    Our deepbots-tutorials repository has also been updated for the 1.0 release, and we have a new obstacle avoidance example in the works for our deepworlds examples repository. Feel free to check them out! Any feedback and/or contributions are more than welcome.

  • deepworlds

    Examples and use cases using the deepbots framework (https://github.com/aidudezzz/deepbots) with the Webots robot simulator.

    Our deepbots-tutorials repository has also been updated for the 1.0 release, and we have a new obstacle avoidance example in the works for our deepworlds examples repository. Feel free to check them out! Any feedback and/or contributions are more than welcome.

  • webots

    Webots Robot Simulator

    Deepbots is an open-source framework facilitating reinforcement learning in Webots. Webots provides easy-to-use tools to create your own worlds/robots, and deepbots interfaces Webots with any gym-compatible RL agent. It does this by guiding even the most novice users to create gym-style environments that are compatible with Webots (we have recreated the classic control problem CartPole successfully in Webots, among others). Deepbots handles all low-level details to interface the environment with the simulator.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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