High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random g…

Anonymous Multi-Agent Path Finding (MAPF) with Conflict-Based Search and Space-Time A*

Simulations for TurtleBot3

PRIMAL: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Distributed RL/IL code for Multi-Agent Path Finding (MAPF)

Graph Neural Networks for Decentralized Path Planning

A goal-driven autonomous exploration through deep reinforcement learning (ICRA 2022) system that combines reactive and planned robot navigation in unknown environments

In this repo we use Turtlebot 3 along with ROS 2 and Gazebo to explore an unknown csv environment, navigate through it and create a map

Simulation artifacts, core components and configuration files to integrate AWS DeepRacer device with ROS Navigation stack.

The autonomous exploration army project consists of 1 aerial vehicle and 2 ground vehicles, utilizing ROS 2 and the Gazebo simulation environment.

Control barrier function as safety filter

This is a software which can by used by researcher multi-agent reinforcement learning in robot learning for multi-robot system

A repository about MO-LS-M*

This is the implementation of Safe Multi-Agent Reinforcement Learning for Multi-Agent Formation Obstacle Avoidance