Buchumschlag

Human-aligned Safe Reinforcement Learning for Highway On-Ramp Merging in Dense Traffic

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Li, Yang, Yuan, Shijie, Chang, Yuan, Chen, Xiaolong, Yang, Qisong, Yang, Zhiyuan, Qin, Hongmao
Format:	Preprint
Veröffentlicht:	2025
Schlagworte:	Robotics
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Reachable Sets-based Trajectory Planning Combining Reinforcement Learning and iLQR
von: Huang, Wenjie, et al.
Veröffentlicht: (2025)

SMART-Merge Planner: A Safe Merging and Real-Time Motion Planner for Autonomous Highway On-Ramp Merging
von: Mohammadnejad, Toktam, et al.
Veröffentlicht: (2025)

POMDP-Based Trajectory Planning for On-Ramp Highway Merging
von: Kollarčík, Adam, et al.
Veröffentlicht: (2024)

Delay-Aware Reinforcement Learning for Highway On-Ramp Merging under Stochastic Communication Latency
von: Tabrizian, Amin, et al.
Veröffentlicht: (2024)

Sky Highway Design for Dense Traffic
von: Quan, Quan, et al.
Veröffentlicht: (2020)

Modeling the Lane-Change Reactions to Merging Vehicles for Highway On-Ramp Simulations
von: Holley, Dustin, et al.
Veröffentlicht: (2024)

Z-Merge: Multi-Agent Reinforcement Learning for On-Ramp Merging with Zone-Specific V2X Traffic Information
von: Ibork, Yassine, et al.
Veröffentlicht: (2025)

HCOMC: A Hierarchical Cooperative On-Ramp Merging Control Framework in Mixed Traffic Environment on Two-Lane Highways
von: Wang, Tianyi, et al.
Veröffentlicht: (2025)

Fault-Tolerant MARL for CAVs under Observation Perturbations for Highway On-Ramp Merging
von: Shi, Yuchen, et al.
Veröffentlicht: (2025)

Efficient and Safe Planner for Automated Driving on Ramps Considering Unsatisfication
von: Li, Qinghao, et al.
Veröffentlicht: (2025)

Safe Merging in Mixed Traffic with Confidence
von: Bang, Heeseung, et al.
Veröffentlicht: (2024)

RACE-SM: Reinforcement Learning Based Autonomous Control for Social On-Ramp Merging
von: Poots, Jordan
Veröffentlicht: (2024)

Bench4Merge: A Comprehensive Benchmark for Merging in Realistic Dense Traffic with Micro-Interactive Vehicles
von: Wang, Zhengming, et al.
Veröffentlicht: (2024)

Preemptive Spatiotemporal Trajectory Adjustment for Heterogeneous Vehicles in Highway Merging Zones
von: Li, Yuan, et al.
Veröffentlicht: (2025)

A Systematic Study of Multi-Agent Deep Reinforcement Learning for Safe and Robust Autonomous Highway Ramp Entry
von: Schester, Larry, et al.
Veröffentlicht: (2024)

Trust-MARL: Trust-Based Multi-Agent Reinforcement Learning Framework for Cooperative On-Ramp Merging Control in Heterogeneous Traffic Flow
von: Pan, Jie, et al.
Veröffentlicht: (2025)

Stable and Safe Human-aligned Reinforcement Learning through Neural Ordinary Differential Equations
von: Zhao, Liqun, et al.
Veröffentlicht: (2024)

A Collaborative Safety Shield for Safe and Efficient CAV Lane Changes in Congested On-Ramp Merging
von: Hegde, Bharathkumar, et al.
Veröffentlicht: (2026)

Human-Like Autonomous Driving on Dense Traffic
von: Yildirim, Mustafa, et al.
Veröffentlicht: (2023)

Safe Reinforcement Learning Filter for Multicopter Collision-Free Tracking under disturbances
von: Qi, Qihan, et al.
Veröffentlicht: (2024)

Beyond Human Demonstrations: Diffusion-Based Reinforcement Learning to Generate Data for VLA Training
von: Yang, Rushuai, et al.
Veröffentlicht: (2025)

Game-Theoretic Risk-Shaped Reinforcement Learning for Safe Autonomous Driving
von: Hu, Dong, et al.
Veröffentlicht: (2025)

Speed Optimization Algorithm based on Deterministic Markov Decision Process for Automated Highway Merge
von: Goto, Takeru, et al.
Veröffentlicht: (2025)

From Observation to Prediction: LSTM for Vehicle Lane Change Forecasting on Highway On/Off-Ramps
von: Abouras, Mohamed, et al.
Veröffentlicht: (2026)

Contact-Safe Reinforcement Learning with ProMP Reparameterization and Energy Awareness
von: Huang, Bingkun, et al.
Veröffentlicht: (2025)

Safety-Constrained Reinforcement Learning with Post-Training Reachability Verification for Robot Navigation
von: He, Qisong, et al.
Veröffentlicht: (2026)

End-To-End Training and Testing Gamification Framework to Learn Human Highway Driving
von: Jaladi, Satya R., et al.
Veröffentlicht: (2024)

Innate-Values-driven Reinforcement Learning based Cognitive Modeling
von: Yang, Qin
Veröffentlicht: (2024)

A Reinforcement Learning Approach to Quiet and Safe UAM Traffic Management
von: Murthy, Surya, et al.
Veröffentlicht: (2025)

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

REASAN: Learning Reactive Safe Navigation for Legged Robots
von: Yuan, Qihao, et al.
Veröffentlicht: (2025)

Foresight Social-aware Reinforcement Learning for Robot Navigation
von: Zhou, Yanying, et al.
Veröffentlicht: (2021)

Safe Hybrid-Action Reinforcement Learning-Based Decision and Control for Discretionary Lane Change
von: Xu, Ruichen, et al.
Veröffentlicht: (2024)

Reinforcement Learning for Robotic Safe Control with Force Sensing
von: Lin, Nan, et al.
Veröffentlicht: (2025)

Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement Learning
von: Kalaria, Dvij, et al.
Veröffentlicht: (2024)

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
von: Zheng, Yinan, et al.
Veröffentlicht: (2024)

TSDiT: Traffic Scene Diffusion Models With Transformers
von: Yang, Chen, et al.
Veröffentlicht: (2023)

Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator
von: Xu, Zichun, et al.
Veröffentlicht: (2023)

Heterogeneous Self-Play for Realistic Highway Traffic Simulation
von: Qiu, Jinkai, et al.
Veröffentlicht: (2026)

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