mcgrche Goto Github PK

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

autonomousvehiclesimulation

Used Flow, Ray/RLlib and OpenAI Gym to simulate and train autonomous vehicles/human drivers in SUMO (Simulation of Urban Mobility)

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

dl4traffic

This is the repository for the collection of Deep Learning for Traffic Prediction Problems.

dlaicourse

Notebooks for learning deep learning

driveml

A safe and efficient autonomous driving algorithm. Winner of the 2019 DriveML Huawei Autonomous Vehicles Challenge. Built using RLLib and SUMO.

easy-algorithm-interview-and-practice

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

flow

Computational framework for reinforcement learning in traffic control

garage

A toolkit for reproducible reinforcement learning research.

genshin_auto_fish

基于深度强化学习的原神自动钓鱼AI

gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

graph_convolutional_lstm

Traffic Graph Convolutional Recurrent Neural Network

hello-world

my first repository in github

human-trajectory-prediction-via-neural-social-physics

Our ECCV 2022 paper Human Trajectory Prediction via Neural Social Physics

intellectual-variable-speed-limit-controller

🧠 A deep reinforcement learning algorithm for urban expressway variable speed limit control. The result has been published on the 99th TRB Annual Meeting as a poster paper.

lihang-code

《统计学习方法》的代码实现

ml-from-scratch

机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。

multi-agent-distributed-ppo-traffc-light-control

multi agent RL for traffic light control in Sumo using distributed PPO

pytorch_geometric

Graph Neural Network Library for PyTorch

reinforce

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

reinforcejs

Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

rl-controlled-lights-and-i2v-sumo

This is our Final Year Project in Bachelors. We try to avoid congestion on two levels i.e Intersection level and Infrastructure to Vehicle communication level.

rl-on-sumo

Demos of reinforcement learning on Simulation of Urban MObility

rl-traffic-optimization_cil4sys

An implementation of the traffic simulation optimisation with reinforcement learning, with FLOW and SUMO.

rllibsumodocker

Docker environment for RLLIB+SUMO Utils python library.

rllibsumoutils

Python3 library able to connect the RLLIB framework with the SUMO simulator.

smart-traffic-signals-in-india-using-deep-reinforcement-learning-and-advanced-computer-vision

We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic Signals for Indian Roads. We have created the scripts for using SUMO as our environment for deploying all our RL models.