reinforcement-learning
RL framework
A collection of implementations of reinforcement learning algorithms in MATLAB
Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.
60 stars
1 watching
27 forks
Language: Matlab
last commit: over 6 years ago
Linked from 1 awesome list
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
 sjtu-marl/malib | A framework for parallel population-based reinforcement learning | 497 |
 luchris429/purejaxrl | A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality | 722 |
 horizonrobotics/alf | A reinforcement learning framework designed to implement complex algorithms with flexibility and ease of use | 302 |
 kaixhin/rainbow | A Python implementation of a deep reinforcement learning algorithm combining multiple techniques for improved performance in Atari games | 1,585 |
 enlite-ai/maze | An RL framework for building and training reinforcement learning models in Python | 265 |
 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 |
 eleurent/rl-agents | A collection of implementations of Reinforcement Learning and planning algorithms in Python. | 592 |
 coax-dev/coax | A modular framework for building reinforcement learning agents in Python using Gymnasium and JAX. | 167 |
 aunum/gold | A reinforcement learning library for Go, providing a set of agents to solve challenges in various environments. | 345 |
 tatsu-lab/alpaca_farm | A framework for simulating and evaluating reinforcement learning from human feedback methods | 782 |
 iffix/machin | An open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms. | 401 |
 replicable-marl/marllib | A comprehensive platform for developing and testing Multi-agent Reinforcement Learning algorithms in various tasks and environments. | 935 |
 catalyst-team/catalyst-rl | A PyTorch framework for accelerating reinforcement learning research and development by providing a modular, reusable, and customizable training loop | 46 |
 alex-petrenko/sample-factory | A high-throughput reinforcement learning library with optimized synchronous and asynchronous implementations of policy gradients. | 830 |