Pinned Repositories
ArmRL
Basic Arm RL
chainerrl
ChainerRL is a deep reinforcement learning library built on top of Chainer.
Collision-Avoidance-with-DRL
利用深度强化学习的方法实现多智能体间离散无交流的障碍避免。其中强化学习算法训练模型所需的数据集由最优互惠碰撞避免(Optimal Reciprocal Collision Avoidance， ORCA)算法生成。
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
csrl
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
DDPG-P_Arm-CoppeliaSim
ddpg-ros-keras
An implementation of the Deep Deterministic Policy Gradient (DDPG) algorithm using Keras/Tensorflow with the robot simulated using ROS/Gazebo/MoveIt!
ddpg-vrep-ball
DDPG for the robot Poppy Ergo Jr. throwing a ball in the air.
Hand-Imitation
RL based learning for a robotic arm to imitate a given hand in a image feed
QITAOHOU's Repositories
QITAOHOU/DDPG-P_Arm-CoppeliaSim
QITAOHOU/Hand-Imitation
RL based learning for a robotic arm to imitate a given hand in a image feed
QITAOHOU/chainerrl
ChainerRL is a deep reinforcement learning library built on top of Chainer.
QITAOHOU/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
QITAOHOU/DDPG_PER
Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
QITAOHOU/DDPG_VREP
DDPG with VREP
QITAOHOU/decentralized-multiarm
[CoRL 2020] Learning a Decentralized Multiarm Motion Planner
QITAOHOU/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
QITAOHOU/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
QITAOHOU/dm_control
The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.
QITAOHOU/drl_robotory
Deep Reinforcement Learning Algorithm Implementing in ROS (virtualenv with Python3)
QITAOHOU/DRLib
DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.
QITAOHOU/EEE4022_RL_Arm_noetic
Application of reinforcement learning to a simulated ROS based robotic arm, to allow it to move to a desired point in 3D space. This repo differs from the previous one in that it is redone using ROS Noetic and Python 3.
QITAOHOU/FetchSlide_DDPG_HER
DDPG + HER implementation in PyTorch for FetchSlide Robot
QITAOHOU/gym_vrep
build a reinforcement environment like openai gym based on V-rep for a dual-arm robot
QITAOHOU/gym_wmgds
QITAOHOU/hindsight-experience-replay
This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.
QITAOHOU/HRL4IN
Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
QITAOHOU/keras-rl
Deep Reinforcement Learning for Keras.
QITAOHOU/MARL
多智能体强化学习（MARL）算法复现，包括QMIX，VDN，QTRAN、MAVEN等等
QITAOHOU/pioneer
RL training for the 6DoF manipulator
QITAOHOU/Practical_RL
A course in reinforcement learning in the wild
QITAOHOU/reinforcement-learning
Collection of reinforcement learning algorithms implementations with TensorFlow2
QITAOHOU/rl_reach
RL Reach is a platform for running reproducible reinforcement learning experiments. Training environments are provided to solve the reaching task with a robotic arm.
QITAOHOU/rll_sdk
The SDK for the KUKA Robot Learning Lab at KIT
QITAOHOU/RoboND-rllPlanningProject
Path planning through a maze for an industrial Kuka Manipulator Arm
QITAOHOU/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
QITAOHOU/td3_her_rlbench_reacher
A implementation for soving reach target task based on TD3 with HER using PaddlePaddle.
QITAOHOU/tensorlayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
QITAOHOU/Vrep_yolov3_ddpg_pytorch
V-rep simulation experiment using yolov3 pytorch and DDPG