Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"

Decision Transformer for offline single-agent autonomous highway driving

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

This project is to use Model Predictive Control (MPC) to drive a car in a game simulator. The server provides reference waypoints (yellow line in the demo video) via websocket, and we use MPC to co…

A minimalist environment for decision-making in autonomous driving

Python sample codes and textbook for robotics algorithms.

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

Agent based simulation framework for validating planners in automated driving synthetic scenarios. This examples demonstrates overtake maneuver.

A proxy tool to bypass GFW.

References on Optimal Control, Reinforcement Learning and Motion Planning

A Python-embedded modeling language for convex optimization problems.