A simple gym environment wrapping Carla, a simulator for autonomous driving research. The environment is designed for developing and comparing reinforcement learning algorithms. Trackable costs als…

World Model based Autonomous Driving Platform in CARLA 🚗

Gym environments and agents for autonomous driving.

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

[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"

[NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Re-implementation of pi0 vision-language-action (VLA) model from Physical Intelligence

RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Octo is a transformer-based robot policy trained on a diverse mix of 800k robot trajectories.

A generative world for general-purpose robotics & embodied AI learning.

A generative and self-guided robotic agent that endlessly propose and master new skills.

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

[ICRA 2024] Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning

The reinforcement learning training code for AgiBot X1.

The inference module for AgiBot X1.

MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.

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

[ECCV 2024] This is the official implementation of PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving