jsjywwk's Stars
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
byoungd/English-level-up-tips
An advanced guide to learn English which might benefit you a lot 🎉 . 离谱的英语学习指南/英语学习教程。
fengdu78/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
datawhalechina/pumpkin-book
《机器学习》（西瓜书）公式详解
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
instillai/TensorFlow-Course
:satellite: Simple and ready-to-use tutorials for TensorFlow
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
tensorlayer/TensorLayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
snowkylin/tensorflow-handbook
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
TrickyGo/Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
eclipse-sumo/sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial
A TensorFlow & Deep Learning online course I taught in 2016
Curt-Park/rainbow-is-all-you-need
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
ZhiqingXiao/rl-book
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
germain-hug/Deep-RL-Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
AndreaVidali/Deep-QLearning-Agent-for-Traffic-Signal-Control
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
yezhaodan/-Git
零基础使用Git的读书笔记
Damcy/prioritized-experience-replay
implement of prioritized experience replay
TJ1812/Adaptive-Traffic-Signal-Control-Using-Reinforcement-Learning
This is an application exploiting principles of Deep Reinforcement Learning. The Deep Neural Network is trained to approximate the Bellman Equation (Q-Learning).
multi-commander/Multi-Commander
Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem
quantumiracle/Reinforcement_Learning_for_Traffic_Light_Control
Apply deep reinforcement learning methods including DQN, DDPG for traffic light control in simulation (discrete environment), to prove the 'Green Wave' phenomenon in intelligent traffic system.
Ring367/A-Deep-Reinforcement-Learning-Network-for-Traffic-Light-Cycle-Control
A Deep Reinforcement Learning Network for Traffic Light Cycle Control
tianrang-intelligence/TSCC2019
Traffic Signal Control Competition
muffyharsha/Team-Anonymous-BTS
AI Powered Traffic Signal Control (BTS Global Hackathon)
coach00/Reinforcement-Learning
coach的rl练习，主要有q_learning,sarsa,REINFORCE,DQN,Actor-Critic,DDPG,使用tensorflow2.0编写
shubhamag/DeepRL_DQN_tensorflow
A repository of Q-learning based Deep Reinforcement learning algorithms, including Linear DQN, DQN with experience reply, Dueling DQN and Double Dueling DQN. Mostly tested on Gym environments.
ZainRaza14/mc_policygradient_deepRL
Implementation of Monte Carlo Policy Gradient method in Deep Reinforcement Learning using Open AI's gym.
jiangfeng1124/reinforcement-learning-an-introduction
Python code for Reinforcement Learning: An Introduction