《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Python sample codes for robotics algorithms.

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

Must-read Papers on Physics-Informed Neural Networks.

Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

机器学习过程中所看的书，视频和源码

Using reinforcement learning to teach a car to avoid obstacles.

Repository to store conditional imitation learning based AI that runs on CARLA.

Official github page of UCF SST CitySim Dataset

multi-agent deep reinforcement learning for large-scale traffic signal control.

Deep learning for Engineers - Physics Informed Deep Learning

ICML 2018 Self-Imitation Learning

SUMO adaptive traffic signal control - DQN, DDPG, Webster's, Max-pressure, Self-Organizing Traffic Lights

[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning

Traffic simulation project for dissertation

Reinforcement-Learning-for-Decision-Making-in-self-driving-cars

simple EM-planner

deep reinforcement learing SUMO

The ROS interface as well as the Python packages for ProSeCo Planning

dc数据竞赛 汽车出行预测

add this later

Teach a neural network to drive a car using reinforcement learning

OpenCDA is a generalized framework for prototyping cooperative driving automation applications (e.g., cooperative perception, platooning) and automated driving components (e.g., perception, localiz…

OpenCDA is a generalized framework for prototyping cooperative driving automation applications (e.g., cooperative perception, platooning) and automated driving components (e.g., perception, localiz…

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归