[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving

Use Reinforcement Learning to train an autonomous driving agent in CARLA Simulator

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

An OpenAI gym wrapper for CARLA simulator

MATLAB example on how to use Reinforcement Learning for developing a financial trading model

📚 Awesome CS Books(with Digests)/Series(.pdf by git lfs) Warehouse for Geeks, ProgrammingLanguage, SoftwareEngineering, Web, AI, ServerSideApplication, Infrastructure, FE etc. 💫 优秀计算机科学与技术领域相关的书籍归档…

计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

LeetCode 刷题攻略：配思维导图，各个类型的经典题目刷题顺序、经典算法模板，以及详细图解和视频题解。这里精选的题目都不是孤立的，而是由浅入深一脉相承的，相信只要按照刷题攻略上的顺序来学习，一定会有所收获！给个star支持一下吧！

📖 [译] 面向机器学习的特征工程

Develop agent-based traffic management system by model-free reinforcement learning

A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance, NeurIPS 2020 DRL workshop.

Reinforcement learning resources curated

A course in reinforcement learning in the wild

李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/

爬虫集合

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

年薪百万互联网架构师课程文档及源码(公开部分)

C++那些事

Intro to Reinforcement Learning (强化学习纲要）

手写实现李航《统计学习方法》书中全部算法

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Hybrid A* Path Planner for the KTH Research Concept Vehicle

Coursera Open Courses from University of Toronto

📈 如何用深度强化学习自动炒股

汇总java生态圈常用技术框架、开源中间件，系统架构、数据库、大公司架构案例、常用三方类库、项目管理、线上问题排查、个人成长、思考等知识