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Official code for "DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data".
Recommend new arxiv papers of your interest daily according to your Zotero libarary.
Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).
A curated list of safety-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights i…
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
[NeurIPS 2024] DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
Integrate the DeepSeek API into popular softwares
This is a list of papers related to traffic agent trajectory prediction.
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!
A node-based visual tool for organizing thoughts and notes in a non-linear way.
[ICCV'2023] Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
A simple, lightweight, and efficient solution for multi-object trajectory prediction
[ICCV 2023] ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation
[ICCV 2021] Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
[CVPR 2023] Query-Centric Trajectory Prediction
[CVPR2023] Leapfrog Diffusion Model for Stochastic Trajectory Prediction
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SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving
[RAL 2025]Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
[AAAI 2024] Official PyTorch Implementation of ''BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving''.
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