MARLlib
MARL framework
A comprehensive platform for developing and testing Multi-agent Reinforcement Learning algorithms in various tasks and environments.
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
960 stars
11 watching
157 forks
Language: Python
last commit: 3 months ago
Linked from 1 awesome list
deep-reinforcement-learningmulti-agent-reinforcement-learningpytorchrayrllib
Related projects:
Repository | Description | Stars |
---|---|---|
| A framework for parallel population-based reinforcement learning | 507 |
| A research-friendly codebase for experimenting with multi-agent reinforcement learning in JAX | 749 |
| A collection of implementations of reinforcement learning algorithms in MATLAB | 61 |
| A collection of implementations of Reinforcement Learning and planning algorithms in Python. | 596 |
| Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |
| A Python library implementing state-of-the-art deep reinforcement learning algorithms for Keras and OpenAI Gym environments. | 8 |
| A high-performance implementation of reinforcement learning training pipelines using JAX and PyTorch-like functionality | 755 |
| A PyTorch framework for accelerating reinforcement learning research and development by providing a modular, reusable, and customizable training loop | 46 |
| A modular framework for building reinforcement learning agents in Python using Gymnasium and JAX. | 168 |
| A framework for implementing complex reinforcement learning algorithms with flexibility and ease of implementation | 306 |
| An open-source reinforcement learning library for PyTorch, providing a simple and clear implementation of various algorithms. | 402 |
| An RL framework for building and training reinforcement learning models in Python | 266 |
| A tutorial project providing an introduction to reinforcement learning with Stable Baselines3 | 620 |
| A general-purpose programming language designed to support the development of complex software applications using agent-oriented principles | 143 |
| A modular reinforcement learning library with support for various environments and frameworks | 588 |