ncbdrck / multirosLinks
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.
☆35Updated 3 weeks ago
Alternatives and similar repositories for multiros
Users that are interested in multiros are comparing it to the libraries listed below
Sorting:
- Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.☆121Updated 7 months ago
- This repository contains an application using ROS2 Humble, Gazebo, OpenAI Gym and Stable Baselines3 to train reinforcement learning agent…☆81Updated 2 years ago
- ☆154Updated 2 years ago
- Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (…☆36Updated last year
- Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay☆121Updated 2 years ago
- Deep Reinforcement Learning Based Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots☆80Updated last year
- This is the official repository of the PIC4rl-gym presented in the paper https://ieeexplore.ieee.org/abstract/document/10193996 (Accepted…☆52Updated 11 months ago
- A ROS2-based framework for TurtleBot3-like DRL autonomous navigation☆24Updated 2 years ago
- Multi-rotor Gym☆55Updated 2 years ago
- Deep RL ROS2 package for synchronous or asynchronous training a single or multiple robots.☆39Updated 4 years ago
- ☆11Updated 2 years ago
- Robot navigation using deep reinforcement learning☆67Updated 3 years ago
- A plattform to ease DRL research☆28Updated 3 years ago
- Turtlebot Robot Navigation in Gazebo based on DRL☆21Updated 3 years ago
- A reinforcement learning environment using Gazebo, ROS and openAI gym☆19Updated 6 years ago
- ☆48Updated 3 years ago
- Reinforcement Learning (RL) based navigation implementation for mobile robot navigation. The algorithms of TD3, DDPG, SAC, DQN, Q-Learnin…☆29Updated last year
- ☆73Updated 4 years ago
- Deep Reinforcement Learning for mobile robot navigation in IR-SIM simulation. Using DRL (SAC, TD3, PPO, DDPG) neural networks, a robot le…☆194Updated last month
- A ROS2-based framework for TurtleBot3 DRL autonomous navigation☆274Updated 4 months ago
- A Reinforcement Learning (RL) based navigation implementation for mobile robot navigation. Q-Learning, SARSA and Deep Q-Network algorithm…☆36Updated 2 years ago
- Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to…☆127Updated 7 months ago
- A ROS package of a autonomous navigation method based on SAC and Bidirectional RRT* (Repository RL-RRT-Global-Planner).☆56Updated 2 years ago
- ☆41Updated 3 years ago
- ☆12Updated 3 months ago
- Safe Reinforcement Learning for Autonomous Underwater Vehicles☆29Updated 11 months ago
- End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo☆234Updated 2 years ago
- RosNav-RL is a modular DRL framework for ROS 2 with a pluggable architecture, allowing you to switch between RL backends like Stable-Base…☆60Updated 2 weeks ago
- Formation control for a multi-agent system in a bidimensional space. Various types of formations available. Implementation in ROS2 Foxy.☆43Updated 3 years ago
- ☆135Updated 2 months ago