SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.

Reinforcement Learning Agents in .NET

A collection of MARL benchmarks based on TorchRL

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

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

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.

Algorithms to solve the DSSE environment, focusing on optimizing drone swarm search and navigation for critical applications.

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.

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

A Sample Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning

A grid-like environment (multi-agent system) used by an intelligent agent (or more than one agent) in order for it/them to carry the orbs to the pits in a limited number of movements.

Intelligent Social Systems and Swarm Robotics Lab (IS3R)

A multi-agent deep reinforcement learning model to de-traffic our lives

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

Multi-agent collaboration (2 UR10s) in Omniverse Isaac Gym/Sim.

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

Realistic Benchmarks for Collaborative Heterogeneous Multi-Robot Systems

Unified Reinforcement Learning Framework

🔋 Datasets with baselines for offline multi-agent reinforcement learning.

A tool for aggregating and plotting MARL experiment data.