proroklab

adversarial_comms

gnn_pathplanning

Graph Neural Networks for Decentralized Path Planning

HetGPPO

Heterogeneous Multi-Robot Reinforcement Learning

magat_pathplanning

minicar

popgym

Partially Observable Process Gym

rl_multi_agent_passage

Repository containing RL environment, model and trainer for GNN demo for ICRA 2022 paper "A Framework for Real-World Multi-Robot Systems\\Running Decentralized GNN-Based Policies"

rllib_differentiable_comms

This is a minimal example to demonstrate how multi-agent reinforcement learning with differentiable communication channels and centralized critics can be realized in RLLib. This example serves as a reference implementation and starting point for making RLLib more compatible with such architectures.

ros2_multi_agent_passage

VectorizedMultiAgentSimulator

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.

proroklab/VectorizedMultiAgentSimulator

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.

proroklab/gnn_pathplanning

Graph Neural Networks for Decentralized Path Planning

proroklab/popgym

Partially Observable Process Gym

proroklab/magat_pathplanning

proroklab/rllib_differentiable_comms

This is a minimal example to demonstrate how multi-agent reinforcement learning with differentiable communication channels and centralized critics can be realized in RLLib. This example serves as a reference implementation and starting point for making RLLib more compatible with such architectures.

proroklab/minicar

proroklab/ros2_multi_agent_passage

proroklab/HetGPPO

Heterogeneous Multi-Robot Reinforcement Learning

proroklab/rl_multi_agent_passage

Repository containing RL environment, model and trainer for GNN demo for ICRA 2022 paper "A Framework for Real-World Multi-Robot Systems\\Running Decentralized GNN-Based Policies"

proroklab/adversarial_comms

proroklab/gnngls

Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem

proroklab/ffm

Reinforcement Learning with Fast and Forgetful Memory

proroklab/DVM-SLAM

proroklab/ModGNN

proroklab/graph-conv-memory

Graph convolutional memory

proroklab/ControllingBehavioralDiversity

This repository contains the code for Diversity Control (DiCo), a novel method to constrain behavioral diversity in multi-agent reinforcement learning.

proroklab/cambridge-robomaster

This is the source repository containing all information necessary to reproduce the Cambridge RoboMaster platform.

proroklab/private_flocking

proroklab/task-agnostic-comms

Task-Agnostic Communication for Multi-Agent Reinforcement Learning

proroklab/CoViS-Net

Dataset, models and evaluation code for the paper "CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications"

proroklab/resilient-fusion

proroklab/robomaster_ros2_can

ROS2 driver to control RoboMaster S1 using the internal CAN interface

proroklab/robomaster_sdk_can

C++ library to command the RoboMaster S1 through the internal CAN bus

proroklab/sensor-guided-visual-nav

proroklab/memory-monoids

proroklab/xaer

proroklab/ros2_infrastructure

proroklab/ros2_point_robot_simulator

A simple ROS2 point simulator

proroklab/ros2_robomaster_msgs