mirror of
https://github.com/saymrwulf/stable-baselines3.git
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1afc2f3abe
* make sure DQN policy is always in correct mode - train or eval * make set_training_mode an abstract method of the base policy - safer * update docstring of _build method to note that the target network is put into eval mode * use set_training_mode to put the dqn target network into eval mode * use set_training_mode to set the training model of the q-network * move set_training_mode abstract method from BasePolicy to BaseModel * set train and eval mode for TD3 * make sure critic is always in correct mode during train * set train and eval mode for SAC * add comment re batch norm and dropout * set train and eval mode for A2C and PPO * add tests for collect rollouts with batch norm * fix formatting * update change log * update version * remove Optional typing for batch size - causing type check to fail * Fix scipy dependency for toy text envs * implement set_training_mode method in BaseModel * move all tests of train/eval mode to test_train_eval_mode * call learn with learning_starts = total_timesteps to test that collect_rollouts does not update batch norm * remove extra calls to set_training_mode in train method of TD3 and SAC * Allow gradient_steps=0 * Refactor tests * Add comment + use aliases * Typos Co-authored-by: Antonin Raffin <antonin.raffin@ensta.org> |
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| index.rst | ||
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Stable Baselines3 Documentation
This folder contains documentation for the RL baselines.
Build the Documentation
Install Sphinx and Theme
Execute this command in the project root:
pip install -e .[docs]
Building the Docs
In the docs/ folder:
make html
if you want to building each time a file is changed:
sphinx-autobuild . _build/html