Buchumschlag

Bilevel Multi-Armed Bandit-Based Hierarchical Reinforcement Learning for Interaction-Aware Self-Driving at Unsignalized Intersections

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Peng, Zengqi, Wang, Yubin, Zheng, Lei, Ma, Jun
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Robotics
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
von: Peng, Zengqi, et al.
Veröffentlicht: (2024)

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models
von: Peng, Zengqi, et al.
Veröffentlicht: (2025)

CALMM-Drive: Confidence-Aware Autonomous Driving with Large Multimodal Model
von: Yao, Ruoyu, et al.
Veröffentlicht: (2024)

Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning
von: Wang, Yubin, et al.
Veröffentlicht: (2023)

Learning the References of Online Model Predictive Control for Urban Self-Driving
von: Wang, Yubin, et al.
Veröffentlicht: (2023)

Orchestrate, Generate, Reflect: A VLM-Based Multi-Agent Collaboration Framework for Automated Driving Policy Learning
von: Peng, Zengqi, et al.
Veröffentlicht: (2025)

Occlusion-Aware Contingency Safety-Critical Planning for Autonomous Driving
von: Zheng, Lei, et al.
Veröffentlicht: (2025)

Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions
von: Al-Sharman, Mohammad, et al.
Veröffentlicht: (2024)

Spatiotemporal Receding Horizon Control with Proactive Interaction Towards Autonomous Driving in Dense Traffic
von: Zheng, Lei, et al.
Veröffentlicht: (2023)

SocialTraj: Two-Stage Socially-Aware Trajectory Prediction for Autonomous Driving via Conditional Diffusion Model
von: Zhou, Xiao, et al.
Veröffentlicht: (2025)

Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving
von: Zheng, Lei, et al.
Veröffentlicht: (2024)

SEG-Parking: Towards Safe, Efficient, and Generalizable Autonomous Parking via End-to-End Offline Reinforcement Learning
von: Yang, Zewei, et al.
Veröffentlicht: (2025)

Cooperative Decision-Making for CAVs at Unsignalized Intersections: A MARL Approach with Attention and Hierarchical Game Priors
von: Liu, Jiaqi, et al.
Veröffentlicht: (2024)

Parameter Adjustments in POMDP-Based Trajectory Planning for Unsignalized Intersections
von: Hanzálek, Adam Kollarčík adn Zdeněk
Veröffentlicht: (2024)

Uncertainty-Aware Safety-Critical Decision and Control for Autonomous Vehicles at Unsignalized Intersections
von: Yu, Ran, et al.
Veröffentlicht: (2025)

Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
von: Zheng, Zhi, et al.
Veröffentlicht: (2024)

Reinforcement Learning Aided Sequential Optimization for Unsignalized Intersection Management of Robot Traffic
von: G., Nishchal Hoysal, et al.
Veröffentlicht: (2023)

Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections
von: Wang, Dawei, et al.
Veröffentlicht: (2023)

A GPT-based Decision Transformer for Multi-Vehicle Coordination at Unsignalized Intersections
von: Lee, Eunjae, et al.
Veröffentlicht: (2024)

Analyzing Fundamental Diagrams of Mixed Traffic Control at Unsignalized Intersections
von: Islam, Iftekharul, et al.
Veröffentlicht: (2024)

Fast Long-Term Multi-Scenario Prediction for Maneuver Planning at Unsignalized Intersections
von: Mertens, Max Bastian, et al.
Veröffentlicht: (2024)

COIN: Collaborative Interaction-Aware Multi-Agent Reinforcement Learning for Self-Driving Systems
von: Zhang, Yifeng, et al.
Veröffentlicht: (2026)

Closing Speed Computation using Stereo Camera and Applications in Unsignalized T-Intersection
von: Kumar, Gautam, et al.
Veröffentlicht: (2024)

DECAMP: Towards Scene-Consistent Multi-Agent Motion Prediction with Disentangled Context-Aware Pre-Training
von: Shi, Jianxin, et al.
Veröffentlicht: (2025)

Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection
von: Leng, Bo, et al.
Veröffentlicht: (2025)

Goal-conditioned Hierarchical Reinforcement Learning for Sample-efficient and Safe Autonomous Driving at Intersections
von: Huang, Yiou
Veröffentlicht: (2025)

Autonomous Vehicle Decision-Making Framework for Considering Malicious Behavior at Unsignalized Intersections
von: Li, Qing, et al.
Veröffentlicht: (2024)

Active Inference in Contextual Multi-Armed Bandits for Autonomous Robotic Exploration
von: Wakayama, Shohei, et al.
Veröffentlicht: (2024)

Risk-Aware Reinforcement Learning with Bandit-Based Adaptation for Quadrupedal Locomotion
von: Zeng, Yuanhong, et al.
Veröffentlicht: (2025)

Decentralized Opinion-Integrated Decision making at Unsignalized Intersections via Signed Networks
von: Varma, Bhaskar, et al.
Veröffentlicht: (2026)

BODex: Scalable and Efficient Robotic Dexterous Grasp Synthesis Using Bilevel Optimization
von: Chen, Jiayi, et al.
Veröffentlicht: (2024)

Multi-Agent Reinforcement Learning-based Cooperative Autonomous Driving in Smart Intersections
von: Yu, Taoyuan, et al.
Veröffentlicht: (2025)

Automated Vehicles at Unsignalized Intersections: Safety and Efficiency Implications of Mixed Human and Automated Traffic
von: Rahmani, Saeed, et al.
Veröffentlicht: (2024)

Observation-Augmented Contextual Multi-Armed Bandits for Robotic Search and Exploration
von: Wakayama, Shohei, et al.
Veröffentlicht: (2023)

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

Dynamic Neural Koopman Distillation for Real-Time Robot Control Using Diffusion Models
von: Zheng, Lei, et al.
Veröffentlicht: (2026)

Bilevel Learning for Bilevel Planning
von: Li, Bowen, et al.
Veröffentlicht: (2025)

TSC: Topology-Conditioned Stackelberg Coordination for Multi-Agent Reinforcement Learning in Interactive Driving
von: Zhang, Xiaotong, et al.
Veröffentlicht: (2026)

Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving
von: Liu, Haochen, et al.
Veröffentlicht: (2025)

Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments
von: Lee, Sang-Hyun, et al.
Veröffentlicht: (2023)