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Multi Agent Reinforcement Learning Python Packages

Python packages with the GitHub topic multi-agent-reinforcement-learning. Sorted by relevance, with stars and monthly downloads.
pytorch
torchrl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

1.6M 3K 455
Farama-Foundation
pettingzoo

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

385K 3K 484
pytorch
torchrl-nightly

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

38K 3K 455
yamoling
laser-learning-environment

The Laser Learning Environment (LLE) is a cooperative MARL grid-world

32K 13 6
zombie-einstein
esquilax

JAX Multi-Agent RL, Neuro-Evolution, and A-Life Library

10K 14 0
proroklab
vmas

VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

4K 566 109
pfeinsper
dsse

The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individuals.

4K 72 14
semitable
rware

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

4K 429 96
flatland-association
flatland-rl

The Flatland Framework is a multi-purpose environment to tackle problems around resilient resource allocation under uncertainty. It is designed to be a flexible and method agnostic to solve a wide range of problems in the field of operations research and reinforcement learning.

3K 64 19
chimera0
accelbrainbeat

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

2K 325 91
instadeepai
matrax

A collection of matrix games in JAX

2K 13 2
microsoft
pymaro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

1K 917 157
chatarena
chatarena

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

1K 2K 148
accel-brain
pysummarization

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

1K 325 91
facebookresearch
benchmarl

BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL algorithms, tasks, and models while being systematically grounded in its two core tenets: reproducibility and standardization.

1K 620 129
zombie-einstein
floxs

Flock and swarm multi-agent RL training environments implemented in JAX

903 14 2
salesforce
ai-economist

Foundation: An Economics Simulation Framework

883 106 28
accel-brain
accel-brain-base

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

857 325 91
chimera0
pydbm

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

829 325 91
CN-UPB
deepcomp

DeepCoMP: Self-Learning Dynamic Multi-Cell Selection for Coordinated Multipoint (CoMP)

576 66 13
COeXISTENCE-PROJECT
routerlurb

RouteRL is a multi-agent reinforcement learning framework for urban route choice in different city networks. This subpackage is developed to support its compatibility with URB until the full integration.

544 39 13
OpenRL-Lab
openrl

unified reinforcement learning framework

543 830 81
accel-brain
pyqlearning

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

530 325 91
agi-brain
xuance

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

524 1K 156
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