lisong2019's repositories
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
CityFlow
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
adaptive-tls
Adaptive real-time traffic light signal control system using Deep Multi-Agent Reinforcement Learning
nb_bart
Python implementation of MCMC algorithm for estimation of spatial negative binomial model with Bayesian additive regression trees
Reinforcement-Learning-practice-zh
强化学习-中文笔记&资源-以python实例为主-由浅入深
nngp
Deep neural network kernel for Gaussian process
Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
PARL
A high-performance distributed training framework for Reinforcement Learning
plexe-pyapi
Python APIs to control Plexe models in SUMO
Traffic-Signal-Optimization-GA
Applying GA to solve the traffic optimization problems implemented in python using SUMO simulation.
Traffic-Signal-Optimization-PSO
Applying PSO to solve the traffic optimization problems implemented in python using SUMO simulation.
SUMO-DVSL
A SUMO environment for differential varaible speed limits control
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 the traffic efficiency.
intelligent_traffic_lights
Traffic Lights Control with Deep Learning
Traffic-Light-Optimization
This example demonstrates waiting time minimization in a junction by changing the traffic light signal configuration, For the demonstration purpose SUMO is used.
Multi-Agent-Distributed-PPO-Traffc-light-control
multi agent RL for traffic light control in Sumo using distributed PPO
Intellectual-Variable-Speed-Limit-Controller
A backup file for my 2020 TRBAM poster paper submission.
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
sumo
Eclipse SUMO is an open source, highly portable, microscopic and continuous road traffic simulation package designed to handle large road networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
deeplearning.ai-note
网易云课堂终于官方发布了吴恩达经过授权的汉化课程-“”深度学习专项课程“”，这是自己做的一些笔记以及代码。下为网易云学习链接
deeprl_network
multi-agent deep reinforcement learning for networked system control.
deeprl_signal_control
multi-agent deep reinforcement learning for large-scale traffic signal control.
SUMO-Unity3D-connection
This example demonstrates real-time communication between the microscopic traffic simulator SUMO and the 3D game engine Unity 3D with Python 3.7 based TCP/IP server. Video about the example: https://www.youtube.com/watch?v=4RiJyDnm41Q
Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
IntelliLight
IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control
pyrl
PyRL: a Python Reinforcement Learning Library
ITS_VSL_RL
VSL control RL approach
MoSTScenario
Monaco SUMO Traffic (MoST) Scenario