Deepbots 1.0 release: Reinforcement Learning in Webots

• deepbots

  2 223 4.6 Python

  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.

• deepbots-tutorials

  1 44 3.5 Python

  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.

• Scout Monitoring

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  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.

  

• deepworlds

  1 48 4.2

  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

  23 3,050 8.1 C++

  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.

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