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.

GitHub

61 stars
1 watching
27 forks
Language: Matlab
last commit: over 8 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
sjtu-marl/malibA framework for parallel population-based reinforcement learning507
luchris429/purejaxrlA high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality755
horizonrobotics/alfA framework for implementing complex reinforcement learning algorithms with flexibility and ease of implementation306
kaixhin/rainbowA Python implementation of a deep reinforcement learning algorithm combining multiple techniques for improved performance in Atari games1,591
enlite-ai/mazeAn RL framework for building and training reinforcement learning models in Python266
matthiasplappert/keras-rlA Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments.8
ceshine/rrl_matlabA Matlab implementation of a recurrent reinforcement learning algorithm for training models to make predictions or take actions in dynamic environments.47
eleurent/rl-agentsA collection of implementations of Reinforcement Learning and planning algorithms in Python.596
coax-dev/coaxA modular framework for building reinforcement learning agents in Python using Gymnasium and JAX.168
aunum/goldA reinforcement learning library for Go, providing a set of agents to solve challenges in various environments.345
tatsu-lab/alpaca_farmA framework for simulating and evaluating reinforcement learning from human feedback methods786
iffix/machinAn open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms.402
replicable-marl/marllibA comprehensive platform for developing and testing Multi-agent Reinforcement Learning algorithms in various tasks and environments.960
catalyst-team/catalyst-rlA PyTorch framework for accelerating reinforcement learning research and development by providing a modular, reusable, and customizable training loop46
alex-petrenko/sample-factoryA high-throughput reinforcement learning library with optimized synchronous and asynchronous implementations of policy gradients.839