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* Add support to log videos via tensorboard The ability to look at renderings of agent's trajectories during training helps evaluate the performance of that agent. One can see what the agent actually does at various stages during training. For now only tensorboard is supported, as it is straightforward to implement. * Remove moviepy dependency from extra & doc update * Removed the moviepy dependency from the `extra` dependencies so the user can decide whether to install it or not * Update the video logging docu with proper naming, comments * Added a warning to the video logging docu explaining the moviepy dependency * Updated the video test, to check for a warning when moviepy is missing * Update doc * Update FormatUnsupportedError message * Also log the offending value making the error message more expressive * Fix reporting the correct format and update regression test * Use string description in FormatUnsupportedError * Instead of converting the value to string without the user's control the constructor takes a string representation of the value * Use string description in FormatUnsupportedError * Use a shorter string description for the error to reduce verbosity Co-authored-by: Bernhard Raml <raml.bernhard@gmail.com> Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org> |
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Stable Baselines3 Documentation
This folder contains documentation for the RL baselines.
Build the Documentation
Install Sphinx and Theme
pip install sphinx sphinx-autobuild sphinx-rtd-theme
Building the Docs
In the docs/ folder:
make html
if you want to building each time a file is changed:
sphinx-autobuild . _build/html