:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Goto, Takeru, Toda, Kosuke, Kumano, Takayasu
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Robotics
Accesso online:	https://arxiv.org/abs/2503.14899
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Design of Reward Function on Reinforcement Learning for Automated Driving
di: Goto, Takeru, et al.
Pubblicazione: (2025)

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

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

Human-aligned Safe Reinforcement Learning for Highway On-Ramp Merging in Dense Traffic
di: Li, Yang, et al.
Pubblicazione: (2025)

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

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

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

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

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

About an Automating Annotation Method for Robot Markers
di: Uemura, Wataru, et al.
Pubblicazione: (2026)

Recursively-Constrained Partially Observable Markov Decision Processes
di: Ho, Qi Heng, et al.
Pubblicazione: (2023)

Markov Decision Processes for Satellite Maneuver Planning and Collision Avoidance
di: Kuhl, William, et al.
Pubblicazione: (2025)

Linear Mixture Distributionally Robust Markov Decision Processes
di: Liu, Zhishuai, et al.
Pubblicazione: (2025)

Simulation-based Analysis Of Highway Trajectory Planning Using High-Order Polynomial For Highly Automated Driving Function
di: Patel, Milin, et al.
Pubblicazione: (2025)

Contingency Planning Using Bi-level Markov Decision Processes for Space Missions
di: Banerjee, Somrita, et al.
Pubblicazione: (2024)

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

Robot Motion Planning using One-Step Diffusion with Noise-Optimized Approximate Motions
di: Aizu, Tomoharu, et al.
Pubblicazione: (2025)

Data-Driven Stochastic Motion Evaluation and Optimization with Image by Spatially-Aligned Temporal Encoding
di: Oba, Takeru, et al.
Pubblicazione: (2023)

Sky Highway Design for Dense Traffic
di: Quan, Quan, et al.
Pubblicazione: (2020)

Speeding Up Optimization-based Motion Planning through Deep Learning
di: Tenhumberg, Johannes, et al.
Pubblicazione: (2023)

LLM-mediated Dynamic Plan Generation with a Multi-Agent Approach
di: Abe, Reo, et al.
Pubblicazione: (2025)

Robust Localization for Autonomous Vehicles in Highway Scenes
di: Cheng, Daqian, et al.
Pubblicazione: (2026)

Optimizing Structured Data Processing through Robotic Process Automation
di: Bhardwaj, Vivek, et al.
Pubblicazione: (2024)

Observation Adaptation via Annealed Importance Resampling for Partially Observable Markov Decision Processes
di: Zhang, Yunuo, et al.
Pubblicazione: (2025)

Uncertainty-Aware Decision-Making and Planning for Autonomous Forced Merging
di: Zhou, Jian, et al.
Pubblicazione: (2024)

Reliable and Real-Time Highway Trajectory Planning via Hybrid Learning-Optimization Frameworks
di: Lu, Yujia, et al.
Pubblicazione: (2025)

GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model
di: Zhou, Zhehua, et al.
Pubblicazione: (2024)

SAGE:State-Aware Guided End-to-End Policy for Multi-Stage Sequential Tasks via Hidden Markov Decision Process
di: Wu, BinXu, et al.
Pubblicazione: (2025)

SAILing CAVs: Speed-Adaptive Infrastructure-Linked Connected and Automated Vehicles
di: Nice, Matthew, et al.
Pubblicazione: (2023)

Bi-AQUA: Bilateral Control-Based Imitation Learning for Underwater Robot Arms via Lighting-Aware Action Chunking with Transformers
di: Tsunoori, Takeru, et al.
Pubblicazione: (2025)

Centralized Decision-Making for Platooning By Using SPaT-Driven Reference Speeds
di: Yazgan, Melih, et al.
Pubblicazione: (2025)

DATAMUt: Deterministic Algorithms for Time-Delay Attack Detection in Multi-Hop UAV Networks
di: Soltani, Keiwan, et al.
Pubblicazione: (2025)

Composite Safety Potential Field for Highway Driving Risk Assessment
di: Zuo, Dachuan, et al.
Pubblicazione: (2025)

Automated Lane Merging via Game Theory and Branch Model Predictive Control
di: Zhang, Luyao, et al.
Pubblicazione: (2023)

An Evolutionary Game-Theoretic Merging Decision-Making Considering Social Acceptance for Autonomous Driving
di: Liu, Haolin, et al.
Pubblicazione: (2025)

Optimizing Delivery Logistics: Enhancing Speed and Safety with Drone Technology
di: Shastri, Maharshi, et al.
Pubblicazione: (2025)

Event-based SLAM Benchmark for High-Speed Maneuvers
di: Zhong, Sheng, et al.
Pubblicazione: (2026)

Speeding Up Path Planning via Reinforcement Learning in MCTS for Automated Parking
di: Zheng, Xinlong, et al.
Pubblicazione: (2024)

Optimizing Low-Speed Autonomous Driving: A Reinforcement Learning Approach to Route Stability and Maximum Speed
di: Li, Benny Bao-Sheng, et al.
Pubblicazione: (2024)

MLATC: Fast Hierarchical Topological Mapping from 3D LiDAR Point Clouds Based on Adaptive Resonance Theory
di: Ofuchi, Ryosuke, et al.
Pubblicazione: (2025)