ROS2-Reinforcement-Learning-Drive

MIT Cheetah I Implementation

ROS packages for Turtlebot3

UAV Simulation Platform based on PX4, ROS and Gazebo

中国大学MOOC《机器人操作系统入门》代码示例 ROS tutorial

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

Gazebo classic. For the latest version, see https://github.com/gazebosim/gz-sim

Gazebo database of SDF models. This is a predecessor to https://app.gazebosim.org

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 goal point in a simulated environment while avoiding obstacles.

Gazebo/ROS packages for underwater robotics simulation