Cover Image

An Uncertainty-Weighted Decision Transformer for Navigation in Dense, Complex Driving Scenarios

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zhihao, Peng, Chengyang, Zhu, Minghao, Yurtsever, Ekim, Redmill, Keith A.
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bootstrapping Reinforcement Learning with Sub-optimal Policies for Autonomous Driving
by: Zhang, Zhihao, et al.
Published: (2025)

Extensive Exploration in Complex Traffic Scenarios using Hierarchical Reinforcement Learning
by: Zhang, Zhihao, et al.
Published: (2025)

SignRAG: A Retrieval-Augmented System for Scalable Zero-Shot Road Sign Recognition
by: Zhu, Minghao, et al.
Published: (2025)

Aligning Microscopic Vehicle and Macroscopic Traffic Statistics: Reconstructing Driving Behavior from Partial Data
by: Zhang, Zhihao, et al.
Published: (2026)

Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation
by: Peng, Chengyang, et al.
Published: (2025)

Training Adversarial yet Safe Agent to Characterize Safety Performance of Highly Automated Vehicles
by: Zhu, Minghao, et al.
Published: (2024)

Evaluating Scenario-based Decision-making for Interactive Autonomous Driving Using Rational Criteria: A Survey
by: Tian, Zhen, et al.
Published: (2025)

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving
by: Li, Jingzheng, et al.
Published: (2025)

HighwayLLM: Decision-Making and Navigation in Highway Driving with RL-Informed Language Model
by: Yildirim, Mustafa, et al.
Published: (2024)

Scenario-Based Hierarchical Reinforcement Learning for Automated Driving Decision Making
by: Abdelhamid, M. Youssef, et al.
Published: (2025)

Hierarchical Decision-Making for Autonomous Navigation: Integrating Deep Reinforcement Learning and Fuzzy Logic in Four-Wheel Independent Steering and Driving Systems
by: Wang, Yizhi, et al.
Published: (2025)

Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis
by: Gao, Yuan, et al.
Published: (2025)

Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications
by: Chang, Cheng, et al.
Published: (2025)

Perturbation-mitigated USV Navigation with Distributionally Robust Reinforcement Learning
by: Zhang, Zhaofan, et al.
Published: (2025)

DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models
by: Zhang, Shenyu, et al.
Published: (2025)

Few-Shot Inference of Human Perceptions of Robot Performance in Social Navigation Scenarios
by: Zhang, Qiping, et al.
Published: (2025)

STRIDER: Navigation via Instruction-Aligned Structural Decision Space Optimization
by: He, Diqi, et al.
Published: (2025)

Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
by: Weiwei, Liu, et al.
Published: (2024)

Uncertainty Estimation for Deep Reconstruction in Actuatic Disaster Scenarios with Autonomous Vehicles
by: Luis, Samuel Yanes, et al.
Published: (2026)

Unveiling the Surprising Efficacy of Navigation Understanding in End-to-End Autonomous Driving
by: Hua, Zhihua, et al.
Published: (2026)

AuthSim: Towards Authentic and Effective Safety-critical Scenario Generation for Autonomous Driving Tests
by: Yang, Yukuan, et al.
Published: (2025)

SocRATES: Towards Automated Scenario-based Testing of Social Navigation Algorithms
by: Marpally, Shashank Rao, et al.
Published: (2024)

Adv-BMT: Bidirectional Motion Transformer for Safety-Critical Traffic Scenario Generation
by: Liu, Yuxin, et al.
Published: (2025)

Automatic Curriculum Learning for Driving Scenarios: Towards Robust and Efficient Reinforcement Learning
by: Abouelazm, Ahmed, et al.
Published: (2025)

Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
by: Li, Jingzheng, et al.
Published: (2025)

Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors
by: Hao, Kunkun, et al.
Published: (2024)

NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning
by: Han, Ruihua, et al.
Published: (2024)

Towards Interactive and Learnable Cooperative Driving Automation: a Large Language Model-Driven Decision-Making Framework
by: Fang, Shiyu, et al.
Published: (2024)

LD-Scene: LLM-Guided Diffusion for Controllable Generation of Adversarial Safety-Critical Driving Scenarios
by: Peng, Mingxing, et al.
Published: (2025)

Generating Critical Scenarios for Testing Automated Driving Systems
by: Nguyen, Trung-Hieu, et al.
Published: (2024)

VLA-AN: An Efficient and Onboard Vision-Language-Action Framework for Aerial Navigation in Complex Environments
by: Wu, Yuze, et al.
Published: (2025)

Risk-aware Meta-level Decision Making for Exploration Under Uncertainty
by: Ott, Joshua, et al.
Published: (2022)

Before We Trust Them: Decision-Making Failures in Navigation of Foundation Models
by: Han, Jua, et al.
Published: (2026)

PSG-Nav: Probabilistic Scene Graph Navigation via Multiverse Decision Making
by: Chen, Rufeng, et al.
Published: (2026)

Don't Freeze, Don't Crash: Extending the Safe Operating Range of Neural Navigation in Dense Crowds
by: Zhang, Jiefu, et al.
Published: (2026)

Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous Driving
by: Xiao, Lingyu, et al.
Published: (2024)

LLM Granularity for On-the-Fly Robot Control
by: Wang, Peng, et al.
Published: (2024)

A Conflicts-free, Speed-lossless KAN-based Reinforcement Learning Decision System for Interactive Driving in Roundabouts
by: Lin, Zhihao, et al.
Published: (2024)

Transient Multi-Agent Path Finding for Lifelong Navigation in Dense Environments
by: Morag, Jonathan, et al.
Published: (2024)

Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models
by: Mei, Yuewen, et al.
Published: (2025)