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multi-agent-reinforcement-learning x

12 search results found

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

Unified Reinforcement Learning Framework

Vectorizedmultiagentsimulator ⭐ 210

VMAS is a vectorized framework 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.

Robotic Warehouse ⭐ 170

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

Benchmarl ⭐ 115

A collection of MARL benchmarks based on TorchRL

Tensorswarm ⭐ 69

TensorSwarm: A framework for reinforcement learning of robot swarms.

Spatial Intention Maps ⭐ 65

Learning multi-agent robotic mobile manipulation with deep reinforcement learning

Socialgym2 ⭐ 23

SocialGym 2: A lightweight benchmark and simulator for multi-robot social navigation using ROS and the OpenAI gym.

Safe Multi Agent Isaac Gym ⭐ 22

Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.

Heterogeneous Multi-Robot Reinforcement Learning

iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning

Safe Multi Agent Robosuite ⭐ 6

Safe Multi-Agent Robosuite benchmark for safe multi-agent reinforcement learning research.

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