GJ-cell's Stars
ChenglongChen/pytorch-DRL
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
tensorlayer/TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
kaixindelele/DRLib
DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.
sush1996/DDPG_Fetch
Exploring the performance of Prioritized Experience Replay (PER) with the DDPG+HER scheme on the Fetch Robotics Environemnt
shunchan0677/Tensorflow_in_ROS
Tensorflow tutorial in ROS
yao62995/AS_6Dof_Arm
robot arm by ROS & Moveit, Train Deep Reinforcement Algorithms
araffin/robotics-rl-srl
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
NovemberChopin/RL_Tutorial
Tutorial for Reinforcement Learning
erlerobot/gym-gazebo
Refer to https://github.com/AcutronicRobotics/gym-gazebo2 for the new version
openai/gym
A toolkit for developing and comparing reinforcement learning algorithms.
marload/DeepRL-TensorFlow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
borgwang/reinforce_py
Reinforcement Learning in Python
datawhalechina/easy-rl
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
HWUranus/ur3-with-robotiq-moveit-in-gazbeo
moveit control the ur3 with robotiq in rviz and gazebo
Sunchanghao/ur5_gazebo_pickup
UTNuclearRobotics/ur5_sim
Gazebo simulation of a UR5 with gripper, etc.
sholtodouglas/ur5_RL
utecrobotics/ur5
UR5 Robot with a Robotiq gripper
lihuang3/ur5_ROS-Gazebo
Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers
PaddlePaddle/PARL
A high-performance distributed training framework for Reinforcement Learning
PaulDanielML/MuJoCo_RL_UR5
A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
yuecideng/Ur5_DRL
This is a project about robotic manipulation motion planning using deep reinforcement learning based on ROS and Gazebo simulation
ros-industrial/universal_robot
ROS-Industrial Universal Robots support (https://wiki.ros.org/universal_robot)
lukovicaleksa/autonomous-driving-turtlebot-with-reinforcement-learning
Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.
Geonhee-LEE/ur-reaching-reinforcement-learning
Reinforcement learning using rlkit, UR5, Robotiq gripper on ROS(Robot Operating System)
louisnino/RLcode