mirror of
https://github.com/saymrwulf/stable-baselines3.git
synced 2026-06-26 03:01:19 +00:00
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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| .. | ||
| envs | ||
| sb2_compat | ||
| vec_env | ||
| __init__.py | ||
| atari_wrappers.py | ||
| base_class.py | ||
| buffers.py | ||
| callbacks.py | ||
| distributions.py | ||
| env_checker.py | ||
| env_util.py | ||
| evaluation.py | ||
| logger.py | ||
| monitor.py | ||
| noise.py | ||
| off_policy_algorithm.py | ||
| on_policy_algorithm.py | ||
| policies.py | ||
| preprocessing.py | ||
| results_plotter.py | ||
| running_mean_std.py | ||
| save_util.py | ||
| torch_layers.py | ||
| type_aliases.py | ||
| utils.py | ||