Barney-art

Barney-art's Stars

• xsir317/ku10

  一个五子棋学习资料站

  Language:HTML15934

• PaddlePaddle/PARL

  A high-performance distributed training framework for Reinforcement Learning

  Language:Python3.2k820

• sweetice/Deep-reinforcement-learning-with-pytorch

  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

  Language:Python3.9k841

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python8.8k1.7k

• araffin/rl-tutorial-jnrr19

  Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019

  Language:Jupyter Notebook600114

• horychen/PidTuner

  My implementation of pid tunner following TI's InstaSPIN guide.

  Language:Jupyter Notebook139

• ZuodaoTech/everyone-can-use-english

  人人都能用英语

  Language:TypeScript24.4k3.7k

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook16.4k4.2k

• jsnjfz/OpenCVSharpDemo

  基于OpenCVsharp的C#程序用于提取文字区域

  Language:C#196

• VahidN/OpenCVSharp-Samples

  A collection of samples about using OpenCV in .NET applications.

  Language:C#271122

• rparak/ABB-RobotStudio-Tutorial-Simple

  Demonstration of some simple examples in ABB RobotStudio.

  Language:AMPL236

• borgwang/reinforce_py

  Reinforcement Learning in Python

  Language:Python10745

• mli/paper-reading

  深度学习经典、新论文逐段精读

  26.3k2.4k

• SDU-ss/Dqn_vrep_grasp

  Language:Python11

• renattou/ALE-Robot

  DDQN for a Atari-playing robot.

  Language:Python5

• PacktPublishing/Deep-Reinforcement-Learning-Hands-On

  Hands-on Deep Reinforcement Learning, published by Packt

  Language:Python2.8k1.3k

• Curt-Park/rainbow-is-all-you-need

  Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow

  Language:Jupyter Notebook1.8k333

• udacity/deep-learning-v2-pytorch

  Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

  Language:Jupyter Notebook5.3k5.3k

• yunjey/pytorch-tutorial

  PyTorch Tutorial for Deep Learning Researchers

  Language:Python29.9k8.1k

• zergtant/pytorch-handbook

  pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

  Language:Jupyter Notebook20.1k5.4k

• sherjilozair/dqn

  Basic DQN implementation

  Language:Python21972

• youtubeSam/V-REP-Inverse-Kinematics

  Files for Inverse Kinematics Youtube Tutorial

  Language:Lua1412

• Junzhuodu/ur5_vrep_python

  Use python and Vrep to do the path planning for ur5 robot

  Language:Python5313

• caoty777/Simulated-Multi-Robot-Arm-Object-Passing-System

  Final project for 'ECE470: Intro to Robotics' at UIUC. Python code+API to create a robot simulation in Vrep software. Robot arm forward/inverse kinematics, automation system design, path planning (collision avoidance)

  Language:Python318

• jaromiru/AI-blog

  Accompanying repository for Let's make a DQN / A3C series.

  Language:Python391173

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.5k4.8k

• aimacode/aima-python

  Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

  Language:Jupyter Notebook7.9k3.7k

• louisnino/RLcode

  Language:Python848283

• BarisYazici/deep-rl-grasping

  Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets

  Language:Python18744

• YJLAugus/Reinforcement-Learning-Notes

  Reinforcement-Learning-Notes, start with MDP.

  21842