ncbdrck / multiros
MultiROS is an open-source ROS based simulation environment designed for concurrent deep reinforcement learning. It provides a flexible and scalable framework for training and evaluating reinforcement learning agents for complex robotic tasks.
☆31Updated 8 months ago
Alternatives and similar repositories for multiros:
Users that are interested in multiros are comparing it to the libraries listed below
- Deep RL ROS2 package for synchronous or asynchronous training a single or multiple robots.☆38Updated 4 years ago
- This repository contains an application using ROS2 Humble, Gazebo, OpenAI Gym and Stable Baselines3 to train reinforcement learning agent…☆62Updated last year
- Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (…☆23Updated last year
- This is the official repository of the PIC4rl-gym presented in the paper https://ieeexplore.ieee.org/abstract/document/10193996 (Accepted…☆44Updated 5 months ago
- Universal Robot Environment for OpenAI Gymnasium and ROS Gazebo Interface☆40Updated 2 months ago
- RealROS is an open-source Python framework that seamlessly integrates with ROS (Robot Operating System) to create real-world robotics env…☆17Updated 8 months ago
- RL STaR is a platform for creating AI for robotic applications. Researchers can share their work in the form of new robots or new tasks. …☆31Updated 4 years ago
- [ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning☆68Updated 7 months ago
- RosNav-RL: A flexible, modular framework for building, training, and deploying reinforcement learning navigation agents in ROS. Supports …☆27Updated last week
- ☆63Updated last year
- Deep Reinforcement Learning Based Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots☆69Updated last year
- A plattform to ease DRL research☆28Updated 2 years ago
- Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to…☆64Updated last month
- A Reinforcement Learning (RL) based navigation implementation for mobile robot navigation. Q-Learning, SARSA and Deep Q-Network algorithm…☆33Updated 2 years ago
- A ROS 2 Toolbox for Cooperative Robotics☆42Updated last month
- Multi-rotor Gym☆52Updated last year
- A comprehensive framework for reinforcement learning in robotics, which allows users to train their robots in both simulated and real-wor…☆73Updated 7 months ago
- Reinforcement Learning with Turtlebot in Gazebo☆19Updated 3 years ago
- ☆45Updated 3 years ago
- Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay☆114Updated last year
- Reinforcement Learning (RL) based navigation implementation for mobile robot navigation. The algorithms of TD3, DDPG, SAC, DQN, Q-Learnin…☆26Updated last year
- A ROS package of a autonomous navigation method based on SAC and Bidirectional RRT* (Repository RL-RRT-Global-Planner).☆50Updated 2 years ago
- A reinforcement learning environment using Gazebo, ROS and openAI gym☆18Updated 6 years ago
- Deep reinforcement learning for drone precision landing, docker container for simulation in Gazebo-ROS2 dashing/foxy with PX4-Autopilot R…☆33Updated last year
- Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.☆116Updated last month
- ☆148Updated last year
- Framework for integrating ROS and Gazebo with gymnasium, streamlining the development and training of RL algorithms in realistic robot si…☆39Updated 9 months ago
- Implementing Deep-Q-Learning to train a bot to navigate an environment with obstacles☆13Updated 2 years ago