hands-on-rl
RL tutorial
A step-by-step course teaching the fundamentals and applications of reinforcement learning using Jupyter Notebook
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
1k stars
19 watching
134 forks
Language: Jupyter Notebook
last commit: 8 months ago
Linked from 1 awesome list
deep-reinforcement-learningreinforcement-learning
filipecalegario/awesome-generative-aiRelated projects:
| Repository | Description | Stars |
|---|---|---|
 araffin/rl-tutorial-jnrr19 | A tutorial project providing an introduction to reinforcement learning with Stable Baselines3 | 615 |
 matyama/deep-rl-hands-on | A collection of examples and exercises from a deep reinforcement learning book | 2 |
 jjkke88/rl_toolbox | A collection of reinforcement learning algorithms and tools for training agents in complex environments. | 43 |
 takuseno/d3rlpy | An open-source deep reinforcement learning library that supports offline and online training, providing an intuitive API for practitioners and researchers. | 1,327 |
 alex-petrenko/sample-factory | A high-throughput reinforcement learning library with optimized synchronous and asynchronous implementations of policy gradients. | 830 |
 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 |
 matthiasplappert/keras-rl | A Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments. | 7 |
 shanky-21/machine_learning | A collection of machine learning techniques taught through interactive Jupyter Notebooks | 29 |
 toni-sm/skrl | A modular reinforcement learning library with support for various environments and frameworks | 560 |
 google-research/deep_ope | A set of pre-trained reinforcement learning policies and benchmarking data for offline model selection in reinforcement learning. | 85 |
 rlworkgroup/garage | A toolkit for developing and evaluating reinforcement learning algorithms in a reproducible manner | 1,883 |
 juliareinforcementlearning/reinforcementlearninganintroduction.jl | Provides Julia code to generate figures and examples for an introductory reinforcement learning book | 310 |
 mushroomrl/mushroom-rl | A Python library for reinforcement learning algorithms and environments. | 825 |
 learnbyexample/perl_intro | A tutorial course teaching Perl programming to VLSI engineers through examples and practical exercises. | 45 |