Zhiyu Huang

収録論文 28本 ・ フィジカルAI/ロボット学習

※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。

論文

• Bridging Predictive Uncertainty and Safe Action: Sample-Conditioned Differentiable Planning for Autonomous Driving
  2026/6/1
• MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems
  2026/5/1
• BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving
  2026/4/1
• TIC-VLA: A Think-in-Control Vision-Language-Action Model for Robot Navigation in Dynamic Environments
  2026/2/1
• Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future
  2025/12/1
• MDG: Masked Denoising Generation for Multi-Agent Behavior Modeling in Traffic Environments
  2025/11/1
• Integrating Decision-Making Into Differentiable Optimization Guided Learning for End-to-End Planning of Autonomous Vehicles
  2024/12/1
• Gen-Drive: Enhancing Diffusion Generative Driving Policies with Reward Modeling and Reinforcement Learning Fine-tuning
  2024/10/1
• NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
  2024/6/1
• Versatile Behavior Diffusion for Generalized Traffic Agent Simulation
  2024/4/1
• Hybrid-Prediction Integrated Planning for Autonomous Driving
  2024/2/1
• Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving
  2024/1/1
• DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving
  2023/10/1
• Occupancy Prediction-Guided Neural Planner for Autonomous Driving
  2023/5/1
• GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving
  2023/3/1
• Learning Interaction-aware Motion Prediction Model for Decision-making in Autonomous Driving
  2023/2/1
• Conditional Predictive Behavior Planning with Inverse Reinforcement Learning for Human-like Autonomous Driving
  2022/12/1
• Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving
  2022/8/1
• Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving
  2022/7/1
• ReCoAt: A Deep Learning-based Framework for Multi-Modal Motion Prediction in Autonomous Driving Application
  2022/7/1
• Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving
  2021/9/1
• Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous Driving
  2021/9/1
• Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving
  2021/6/1
• Human-in-the-Loop Deep Reinforcement Learning with Application to Autonomous Driving
  2021/4/1
• Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Driving
  2021/3/1
• Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving
  2021/2/1
• Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
  2020/10/1
• Multi-modal Sensor Fusion-Based Deep Neural Network for End-to-end Autonomous Driving with Scene Understanding
  2020/5/1