机器人操作系统相关资料
- 百度云：链接：https://pan.baidu.com/s/1GMWwdG9eM5EnY0WteScbxg 提取码：ra0z
- A 4 servo arm control program learn to perform reaching task by deep reinforcement learning.
- Solutions to various tasks using reinforcement learning and optimal control (trajectory optimization)
- This module allows to carry out a two-finger stable grasp by means of a controller developed using reinforcement learning.
- Factory_RL_Gazebo
- gym-gazebo-turtlebot-RL
- Deep RL Arm Manipulation
- QLearning-NAO_plays_Agario
- Open Ai Gym extension for robotics
- RosLoveGym: for the great RL Dream
- Reinforcement learning for ROS simulation
- a turtlebot reinforcement learning in Gazebo
- Reinforcement Learning framework for Robotics
- Reinforcement Learning Framework and Repository
- Autonomous Drifting using Reinforcement Learning
- Reinforcement Learning with Gazebo & Rospy & Keras
- Deep (Reinforcement?) Learning for stage simulated robots
- An OpenAI gym extension for using Gazebo known as gym-gazebo
- A Robotic Auto-Focus System based on Reinforcement Learning
- ROS/Gazebo simulations for reinforcement learning exercises
- Overcoming Exploration in Reinforcement Learning with Demonstrations
- Deep reinforcement learning for UAV in Gazebo simulation environment
- A reinforcement learning environment using Gazebo, ROS and openAI gym
- ROS implementation of multi-task reinforcement learning for Turtlebot 2
- SLAM-Safe Planner: Preventing Monocular SLAM Failure using Reinforcement Learning
- A drone control system based on deep reinforcement learning with Tensorflow and ROS
- Implement DQN in Stage simulator in ROS for Deep Reinforcement Learning using Google DeepMind
- S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
- ROS package for reinforcement learning on Baxter robot
- Training Neural Networks for Event-Based End-to-End Robot Control
- Packages related to autonomous mobile robots using Deep Learning and Reinforcement algorithms
- This project is a simulation set- up for ROS Indigo upon which Reinforcement LEarning Algorithms can be used and applied
- Reinforcement for state of the art visual slam algorithms with Deep Learning based solutions. Part of my master thesis at University of Freiburg
- Using a Unity3D package to connect to ROS topics, robots can be simulated in the game-engine with communication to a Reinforcement Learning Algorithm
Self-Driving-Car Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning