I am done

rl/Lib/site-packages/stable_baselines3-2.3.2.dist-info/INSTALLER

@@ -0,0 +1 @@
+pip

rl/Lib/site-packages/stable_baselines3-2.3.2.dist-info/LICENSE

@@ -0,0 +1,21 @@
+The MIT License
+
+Copyright (c) 2019 Antonin Raffin
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.

rl/Lib/site-packages/stable_baselines3-2.3.2.dist-info/METADATA

@@ -0,0 +1,126 @@
+Metadata-Version: 2.1
+Name: stable_baselines3
+Version: 2.3.2
+Summary: Pytorch version of Stable Baselines, implementations of reinforcement learning algorithms.
+Home-page: https://github.com/DLR-RM/stable-baselines3
+Author: Antonin Raffin
+Author-email: antonin.raffin@dlr.de
+License: MIT
+Project-URL: Code, https://github.com/DLR-RM/stable-baselines3
+Project-URL: Documentation, https://stable-baselines3.readthedocs.io/
+Project-URL: Changelog, https://stable-baselines3.readthedocs.io/en/master/misc/changelog.html
+Project-URL: SB3-Contrib, https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
+Project-URL: RL-Zoo, https://github.com/DLR-RM/rl-baselines3-zoo
+Project-URL: SBX, https://github.com/araffin/sbx
+Keywords: reinforcement-learning-algorithms reinforcement-learning machine-learning gymnasium gym openai stable baselines toolbox python data-science
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Requires-Python: >=3.8
+Description-Content-Type: text/markdown
+License-File: LICENSE
+License-File: NOTICE
+Requires-Dist: gymnasium <0.30,>=0.28.1
+Requires-Dist: numpy >=1.20
+Requires-Dist: torch >=1.13
+Requires-Dist: cloudpickle
+Requires-Dist: pandas
+Requires-Dist: matplotlib
+Provides-Extra: docs
+Requires-Dist: sphinx <8,>=5 ; extra == 'docs'
+Requires-Dist: sphinx-autobuild ; extra == 'docs'
+Requires-Dist: sphinx-rtd-theme >=1.3.0 ; extra == 'docs'
+Requires-Dist: sphinxcontrib.spelling ; extra == 'docs'
+Requires-Dist: sphinx-copybutton ; extra == 'docs'
+Provides-Extra: extra
+Requires-Dist: opencv-python ; extra == 'extra'
+Requires-Dist: pygame ; extra == 'extra'
+Requires-Dist: tensorboard >=2.9.1 ; extra == 'extra'
+Requires-Dist: psutil ; extra == 'extra'
+Requires-Dist: tqdm ; extra == 'extra'
+Requires-Dist: rich ; extra == 'extra'
+Requires-Dist: shimmy[atari] ~=1.3.0 ; extra == 'extra'
+Requires-Dist: pillow ; extra == 'extra'
+Requires-Dist: autorom[accept-rom-license] ~=0.6.1 ; extra == 'extra'
+Provides-Extra: extra_no_roms
+Requires-Dist: opencv-python ; extra == 'extra_no_roms'
+Requires-Dist: pygame ; extra == 'extra_no_roms'
+Requires-Dist: tensorboard >=2.9.1 ; extra == 'extra_no_roms'
+Requires-Dist: psutil ; extra == 'extra_no_roms'
+Requires-Dist: tqdm ; extra == 'extra_no_roms'
+Requires-Dist: rich ; extra == 'extra_no_roms'
+Requires-Dist: shimmy[atari] ~=1.3.0 ; extra == 'extra_no_roms'
+Requires-Dist: pillow ; extra == 'extra_no_roms'
+Provides-Extra: tests
+Requires-Dist: pytest ; extra == 'tests'
+Requires-Dist: pytest-cov ; extra == 'tests'
+Requires-Dist: pytest-env ; extra == 'tests'
+Requires-Dist: pytest-xdist ; extra == 'tests'
+Requires-Dist: mypy ; extra == 'tests'
+Requires-Dist: ruff >=0.3.1 ; extra == 'tests'
+Requires-Dist: black <25,>=24.2.0 ; extra == 'tests'
+
+
+
+# Stable Baselines3
+
+Stable Baselines3 is a set of reliable implementations of reinforcement learning algorithms in PyTorch. It is the next major version of [Stable Baselines](https://github.com/hill-a/stable-baselines).
+
+These algorithms will make it easier for the research community and industry to replicate, refine, and identify new ideas, and will create good baselines to build projects on top of. We expect these tools will be used as a base around which new ideas can be added, and as a tool for comparing a new approach against existing ones. We also hope that the simplicity of these tools will allow beginners to experiment with a more advanced toolset, without being buried in implementation details.
+
+
+## Links
+
+Repository:
+https://github.com/DLR-RM/stable-baselines3
+
+Blog post:
+https://araffin.github.io/post/sb3/
+
+Documentation:
+https://stable-baselines3.readthedocs.io/en/master/
+
+RL Baselines3 Zoo:
+https://github.com/DLR-RM/rl-baselines3-zoo
+
+SB3 Contrib:
+https://github.com/Stable-Baselines-Team/stable-baselines3-contrib
+
+## Quick example
+
+Most of the library tries to follow a sklearn-like syntax for the Reinforcement Learning algorithms using Gym.
+
+Here is a quick example of how to train and run PPO on a cartpole environment:
+
+```python
+import gymnasium
+
+from stable_baselines3 import PPO
+
+env = gymnasium.make("CartPole-v1", render_mode="human")
+
+model = PPO("MlpPolicy", env, verbose=1)
+model.learn(total_timesteps=10_000)
+
+vec_env = model.get_env()
+obs = vec_env.reset()
+for i in range(1000):
+    action, _states = model.predict(obs, deterministic=True)
+    obs, reward, done, info = vec_env.step(action)
+    vec_env.render()
+    # VecEnv resets automatically
+    # if done:
+    #   obs = vec_env.reset()
+
+```
+
+Or just train a model with a one liner if [the environment is registered in Gymnasium](https://gymnasium.farama.org/tutorials/gymnasium_basics/environment_creation/) and if [the policy is registered](https://stable-baselines3.readthedocs.io/en/master/guide/custom_policy.html):
+
+```python
+from stable_baselines3 import PPO
+
+model = PPO("MlpPolicy", "CartPole-v1").learn(10_000)
+```
+

rl/Lib/site-packages/stable_baselines3-2.3.2.dist-info/NOTICE

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+Large portion of the code of Stable-Baselines3 (in `common/`) were ported from Stable-Baselines, a fork of OpenAI Baselines,
+both licensed under the MIT License:
+
+before the fork (June 2018):
+Copyright (c) 2017 OpenAI (http://openai.com)
+
+after the fork (June 2018):
+Copyright (c) 2018-2019 Stable-Baselines Team
+
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.

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rl/Lib/site-packages/stable_baselines3-2.3.2.dist-info/WHEEL

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+Root-Is-Purelib: true
+Tag: py3-none-any
+

rl/Lib/site-packages/stable_baselines3-2.3.2.dist-info/top_level.txt

@@ -0,0 +1 @@
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