SKRL: a modular reinforcement learning library with Isaac Gym environments support

Dear community,

skrl version 0.4.0 is now available (it is under active development. Bug detection and/or correction, feature requests and everything else are more than welcome: Open a new issue on GitHub! ). Please refresh your browser (Ctrl + Shift + R) if the documentation is not displayed correctly

Added

  • CEM, SARSA and Q-learning agents
  • Tabular model
  • Parallel training using multiprocessing
  • Isaac Gym utilities

Changed

  • Initialize agents in a separate method
  • Change the name of the networks argument to models

Fixed

  • Reset environments after post-processing

As part of the Isaac Gym utilities, a lightweight web viewer is available for development without X server

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