Name: YANG JIAXIN
Type: User
Company: Tongji University
Bio: I am a vehicle engineering student, my main research direction is personalized autonomous driving, I use reinforcement learning methods to learn preferences.
Location: Shanghai
Blog: https://auto.tongji.edu.cn/
YANG JIAXIN's Projects
📚 计算机经典编程书籍、大黑书、编程电子书、电子书、编程书籍,包括计算机基础、C/C++、Java、Python、面试题、架构设计、算法系列等经典电子书。
An open autonomous driving platform
An experimental open-source attempt to make GPT-4 fully autonomous.
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
This repo includes ChatGPT prompt curation to use ChatGPT better.
课程视频、PPT和源代码:侯捷C++系列;台大郭彦甫MATLAB
Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
convert can msg to ros
Open-source simulator for autonomous driving research.
modified the carla-ros-bridge
Implementation of the real-time MPC based on iLQR in Carla simulator
通过carla-ros-bridge在carla上实现自动驾驶planning and control。
A GUI proxy client for Windows / Mac / Ubuntu Desktop based on Clash and Electron. Windows / Mac / Ubuntu 适用的Clash客户端.
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Repo for the Deep Reinforcement Learning Nanodegree program
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
OpenDILab Decision AI Engine
Implementation of the T-ITS paper "Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning"
Pytorch🍊🍉 is delicious, just eat it! 😋😋
Imitative Expert Prior-Guided Reinforcement Learning (on TNNLS)
A complete Python abstraction of Stanford's lateral Stanley Controller.
This repository contains the ROS wrapper of Sparks's driver plus various ROS applications.
https://hrl.boyuai.com/
Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"
⛽️「算法通关手册」:超详细的「算法与数据结构」基础讲解教程,从零基础开始学习算法知识,750+ 道「LeetCode 题目」详细解析,200 道「面试热门题目」。
reinforcement learning based agents for self-driving in CARLA
深蓝运动规划课程