rl-colab-notebooks

RL notebooks

A collection of Jupyter Notebooks demonstrating various reinforcement learning techniques with the Stable Baselines3 library

Colab notebooks part of the documentation of Stable Baselines reinforcement learning library

GitHub

209 stars
6 watching
39 forks
Language: Jupyter Notebook
last commit: about 2 months ago
colab-notebooknotebookpythonreinforcement-learningstable-baselines

Related projects:

Repository Description Stars
araffin/rl-tutorial-jnrr19 A tutorial project providing an introduction to reinforcement learning with Stable Baselines3 620
google-research/deep_ope Provides benchmarking policies and datasets for offline reinforcement learning 85
rl-tools/rl-tools An open-source C++ library for training reinforcement learning policies and controlling continuous-control environments. 680
rle-foundation/rlexplore Provides a unified toolkit for constructing, computing, and optimizing intrinsic reward modules in reinforcement learning 373
rlan/notebooks A runtime environment for machine learning via Jupyter notebooks. 32
mushroomrl/mushroom-rl A Python library for reinforcement learning algorithms and environments. 824
ogrisel/notebooks A collection of incomplete machine learning experiments in Jupyter Notebooks 566
drengskapur/colab2pdf Converts Google Colab notebooks to PDF format using an external rendering service 27
rj-chap/baselinetraining A collection of notes and ideas from a training program on implementing a baseline training program for blue teams in security 12
pku-alignment/safety-gymnasium A unified benchmark for safe reinforcement learning algorithms and environments. 410
google-research/rlds A toolkit for storing and manipulating episodic data in reinforcement learning and related tasks. 302
rlworkgroup/garage A toolkit for developing and evaluating reinforcement learning algorithms in a reproducible manner 1,893
iblai/jupyter-edx-colab-cloud-xblock Provides a way to embed Google Colab notebooks within an Open edX course platform 7
corl-team/corl Provides high-quality implementations of offline and offline-to-online reinforcement learning algorithms in Python. 491
matyama/deep-rl-hands-on A collection of examples and exercises from a deep reinforcement learning book 2