RL_toolbox
RL Toolbox
A collection of reinforcement learning algorithms and tools for training agents in complex environments.
reinfore learning tool box, contains trpo, a3c algorithm for continous action space
43 stars
4 watching
8 forks
Language: Python
last commit: over 8 years agoLinked from 1 awesome list
jtoy/awesome-tensorflowRelated projects:
| Repository | Description | Stars |
|---|---|---|
 rlworkgroup/garage | A toolkit for developing and evaluating reinforcement learning algorithms in a reproducible manner | 1,893 |
 rle-foundation/rlexplore | Provides a unified toolkit for constructing, computing, and optimizing intrinsic reward modules in reinforcement learning | 373 |
 luchris429/purejaxrl | A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality | 755 |
 rl-tools/rl-tools | An open-source C++ library for training reinforcement learning policies and controlling continuous-control environments. | 680 |
 ikostrikov/jaxrl | Provides JAX implementations of various reinforcement learning algorithms with continuous action spaces. | 640 |
 sjtu-marl/malib | A framework for parallel population-based reinforcement learning | 507 |
 eleurent/rl-agents | A collection of implementations of Reinforcement Learning and planning algorithms in Python. | 596 |
 araffin/rl-tutorial-jnrr19 | A tutorial project providing an introduction to reinforcement learning with Stable Baselines3 | 620 |
 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 |
 kunqian2025/reinforcement-learning | A collection of implementations of reinforcement learning algorithms in MATLAB | 61 |
 alex-petrenko/sample-factory | A high-throughput reinforcement learning library with optimized synchronous and asynchronous implementations of policy gradients. | 839 |
 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 |
 coax-dev/coax | A modular framework for building reinforcement learning agents in Python using Gymnasium and JAX. | 168 |
 securitygames/oef | Provides tools and algorithms for developing reinforcement learning policies in game environments. | 3 |
 catalyst-team/catalyst-rl | A PyTorch framework for accelerating reinforcement learning research and development by providing a modular, reusable, and customizable training loop | 46 |