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Hong Kong University of Science and Technology
- Guangzhou
- https://scholar.google.com/citations?user=5Ysgg7AAAAAJ&hl=en
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[CVPR 2025 Highlight] Truncated Diffusion Model for Real-Time End-to-End Autonomous Driving
LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents
Code for CVPR 2022 paper "Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior"
[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. NeurIPS 2023.
Generative Agents: Interactive Simulacra of Human Behavior
PyTorch implementation for the paper "Driving with LLMs: Fusing Object-Level Vector Modality for Explainable Autonomous Driving"
An Ethical Trajectory Planning Algorithm for Autonomous Vehicles
A microscopic traffic simulation in Python
[ICRA 2023] The official code for paper "TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios"
A data-driven, fast driving simulator for multi-agent coordination under partial observability.
Minimal implementation of Decision Transformer: Reinforcement Learning via Sequence Modeling in PyTorch for mujoco control tasks in OpenAI gym
Real-time Large-scale Urban Traffic Simulator. Simulate 1,000,000 vehicles in 100,000 intersections in 1:1 time ratio!
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
An offline deep reinforcement learning library
Making large AI models cheaper, faster and more accessible
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
A minimalist environment for decision-making in autonomous driving
[NeurIPS 2021] Official implementation of paper "Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization".
This is a list of papers related to traffic agent trajectory prediction.
Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)
Official Repository for Argoverse Motion Forecasting Baselines