garage
RL toolkit
A toolkit for developing and evaluating reinforcement learning algorithms in a reproducible manner
A toolkit for reproducible reinforcement learning research.
2k stars
56 watching
310 forks
Language: Python
last commit: over 3 years agoLinked from 5 awesome lists
pytorchreproducibilityrl-algorithmstensorflow
josephmisiti/awesome-machine-learning
christoschristofidis/awesome-deep-learning
ethicalml/awesome-production-machine-learning
aikorea/awesome-rl
krzjoa/awesome-python-data-scienceRelated projects:
| Repository | Description | Stars |
|---|---|---|
 jjkke88/rl_toolbox | A collection of reinforcement learning algorithms and tools for training agents in complex environments. | 43 |
 rle-foundation/rlexplore | Provides a unified toolkit for constructing, computing, and optimizing intrinsic reward modules in reinforcement learning | 373 |
 google-research/rlds | A toolkit for storing and manipulating episodic data in reinforcement learning and related tasks. | 302 |
 catalyst-team/catalyst-rl | A PyTorch framework for accelerating reinforcement learning research and development by providing a modular, reusable, and customizable training loop | 46 |
 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. | 335 |
 rl-tools/rl-tools | An open-source C++ library for training reinforcement learning policies and controlling continuous-control environments. | 680 |
 luchris429/purejaxrl | A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality | 755 |
 securitygames/oef | Provides tools and algorithms for developing reinforcement learning policies in game environments. | 3 |
 scitator/catalyst-rl-framework | A framework for distributed reinforcement learning research with Python and PyTorch support | 38 |
 astooke/rlpyt | A modular and unified framework for implementing common deep reinforcement learning algorithms in PyTorch | 2,236 |
 araffin/rl-tutorial-jnrr19 | A tutorial project providing an introduction to reinforcement learning with Stable Baselines3 | 620 |
 arlo-lib/arlo | A tool for optimizing and automating reinforcement learning pipelines in Python | 10 |
 mushroomrl/mushroom-rl | A Python library for reinforcement learning algorithms and environments. | 824 |
 tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |
 eleurent/rl-agents | A collection of implementations of Reinforcement Learning and planning algorithms in Python. | 596 |