Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.

A curated list of Diffusion Model in RL resources (continually updated)

Official implementation of the paper "Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning"

Official implementation of "Designing a Conditional Prior Distribution for Flow-Based Generative Models" published in TMLR.

[CVPR'26] LEAD: Minimizing Learner–Expert Asymmetry in End-to-End Driving

个人中文简历 Latex 源码 https://hijiangtao.github.io/

A Reinforcement Learning (RL) agent for Coverage Path Planning.

[NeurIPS 2025] Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution

[NeurIPS 2025 Spotlight] Generative Trajectory Stitching through Diffusion Composition

[CVPR 2025 Highlight] Truncated Diffusion Model for Real-Time End-to-End Autonomous Driving

Official implementation for "Gradient-based Trajectory Optimization with Parallelized Differentiable Traffic Simulation" (ICRA 2025).

SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

PLUTO: Push the Limit of Imitation Learning-based Planning for Autonomous Driving

[ECCV 2024] GenAD: Generative End-to-End Autonomous Driving

WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)

Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.

PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".

The code of EM planner learning.

[ICCV 2023 & ICLR 2026] VAD: Vectorized Scene Representation for Efficient Autonomous Driving

This is the official implementation of the paper "Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments" by Bernard Lange, Jiachen Li, and …

Wayformer self Implement

This is a list of papers related to traffic agent trajectory prediction.

Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts

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

Notes on the resources I read on autonomous driving

Internship Project Thanks to Zikang Zhou