[NeurIPS 2024 Datasets and Benchmarks Track] Closed-Loop E2E-AD Benchmark Enhanced by World Model RL Expert

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

Autonomous driving episode generation for the Carla simulator in a gym environment. This framework makes it easy to create driving scenarios to train/test the agent.

A minimalist environment for decision-making in autonomous driving

基于gym的pytorch深度强化学习(DRL)(PPO,PPG,DQN,SAC,DDPG,TD3等算法)

An extension of the Planner-Actor-Reporter framework applied to autonomous vehicles in Highway-Env and CARLA.

Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.

LimSim: A Long-term Interactive Multi-scenario Traffic Simulator (ITSC 2023)

A JAX-based simulator for autonomous driving research.

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to s…

A driving simulator built specifically for reinforcement learning/imitation learning. The scenario generator is based on highway-env, and 3-D animation is based on Carla

技术开发文档模板汇总

End-to-End Driving via Generative Adversarial Imitation Learning

Python implementation of a simple vehicle trajectories extractor from traffic cameras