rl-tutorial-jnrr19
RL Tutorial
A tutorial project providing an introduction to reinforcement learning with Stable Baselines3
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
615 stars
11 watching
116 forks
Language: Jupyter Notebook
last commit: over 1 year ago colab-notebooknotebookpythonreinforcement-learningrlstable-baselinestutorial
Related projects:
| Repository | Description | Stars |
|---|---|---|
 stable-baselines-team/rl-colab-notebooks | A collection of Jupyter Notebooks demonstrating various reinforcement learning techniques with the Stable Baselines3 library | 208 |
 paulescu/hands-on-rl | A step-by-step course teaching the fundamentals and applications of reinforcement learning using Jupyter Notebook | 1,072 |
 rl-tools/rl-tools | A comprehensive deep reinforcement learning library for continuous control tasks | 216 |
 luchris429/purejaxrl | A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality | 722 |
 jjkke88/rl_toolbox | A collection of reinforcement learning algorithms and tools for training agents in complex environments. | 43 |
 rlworkgroup/garage | A toolkit for developing and evaluating reinforcement learning algorithms in a reproducible manner | 1,880 |
 rll-research/url_benchmark | A benchmark suite for unsupervised reinforcement learning agents, providing pre-trained models and scripts for testing and fine-tuning agent performance. | 332 |
 matyama/deep-rl-hands-on | A collection of examples and exercises from a deep reinforcement learning book | 2 |
 alex-petrenko/sample-factory | A high-throughput reinforcement learning library with optimized synchronous and asynchronous implementations of policy gradients. | 828 |
 google-research/deep_ope | A set of pre-trained reinforcement learning policies and benchmarking data for offline model selection in reinforcement learning. | 85 |
 sjtu-marl/malib | A framework for parallel population-based reinforcement learning | 497 |
 chainer/chainerrl | A deep reinforcement learning library built on top of Chainer. | 1,172 |
 rle-foundation/rlexplore | Provides a unified toolkit for constructing, computing, and optimizing intrinsic reward modules in reinforcement learning | 366 |
 matthiasplappert/keras-rl | A Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments. | 7 |
 ceshine/rrl_matlab | A Matlab implementation of a recurrent reinforcement learning algorithm for training models to make predictions or take actions in dynamic environments. | 47 |