Imagen de Portada

Attrition-Aware Adaptation for Multi-Agent Patrolling

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Goeckner, Anthony, Li, Xinliang, Wei, Ermin, Zhu, Qi
Formato:	Preprint
Publicado:	2023
Materias:	Multiagent Systems Robotics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems
por: Goeckner, Anthony, et al.
Publicado: (2024)

Multi-Robot Patrol Algorithm with Distributed Coordination and Consciousness of the Base Station's Situation Awareness
por: Kobayashi, Kazuho, et al.
Publicado: (2023)

Distributed Algorithm with Emergent Area Partitioning and Base Station's Situation Awareness for Multi-Robot Patrolling
por: Kobayashi, Kazuho, et al.
Publicado: (2026)

Conflict Mitigation in Shared Environments using Flow-Aware Multi-Agent Path Finding
por: Heuer, Lukas, et al.
Publicado: (2026)

Autonomous Vehicle Patrolling Through Deep Reinforcement Learning: Learning to Communicate and Cooperate
por: Tong, Chenhao, et al.
Publicado: (2024)

CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots
por: Sejersen, Jonas le Fevre, et al.
Publicado: (2025)

SceneFactory: GPU-Accelerated Multi-Agent Driving Simulation with Physics-Based Vehicle Dynamics
por: Zhu, Yicheng, et al.
Publicado: (2026)

Symmetry-Breaking in Multi-Agent Navigation: Winding Number-Aware MPC with a Learned Topological Strategy
por: Nakao, Tomoki, et al.
Publicado: (2025)

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

Multi-Agent Vulcan: An Information-Driven Multi-Agent Path Finding Approach
por: Olkin, Jake, et al.
Publicado: (2024)

Aegis: Automated Error Generation and Attribution for Multi-Agent Systems
por: Kong, Fanqi, et al.
Publicado: (2025)

Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
por: Hua, Min, et al.
Publicado: (2023)

Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning
por: Yu, Xin, et al.
Publicado: (2023)

Multi-Agent Motion Planning with Bézier Curve Optimization under Kinodynamic Constraints
por: Yan, Jingtian, et al.
Publicado: (2023)

Dynamic Task Adaptation for Multi-Robot Manufacturing Systems with Large Language Models
por: Lim, Jonghan, et al.
Publicado: (2025)

Can a Robot Walk the Robotic Dog: Triple-Zero Collaborative Navigation for Heterogeneous Multi-Agent Systems
por: Wang, Yaxuan, et al.
Publicado: (2026)

Introducing Delays in Multi-Agent Path Finding
por: Kottinger, Justin, et al.
Publicado: (2023)

Many-to-Many Multi-Agent Pickup and Delivery
por: Schneider, Ethan, et al.
Publicado: (2026)

Multi-Agent Path Finding Among Dynamic Uncontrollable Agents with Statistical Safety Guarantees
por: Strawn, Kegan J., et al.
Publicado: (2025)

CGoT: A Novel Inference Mechanism for Embodied Multi-Agent Systems Using Composable Graphs of Thoughts
por: Nie, Yixiao, et al.
Publicado: (2025)

Online Multi-Agent Pickup and Delivery with Task Deadlines
por: Makino, Hiroya, et al.
Publicado: (2024)

Conflict-Based Search as a Protocol: A Multi-Agent Motion Planning Protocol for Heterogeneous Agents, Solvers, and Independent Tasks
por: Veerapaneni, Rishi, et al.
Publicado: (2025)

DM$^3$-Nav: Decentralized Multi-Agent Multimodal Multi-Object Semantic Navigation
por: Kashiri, Amin, et al.
Publicado: (2026)

Generalization of Heterogeneous Multi-Robot Policies via Awareness and Communication of Capabilities
por: Howell, Pierce, et al.
Publicado: (2024)

A Model for Multi-Agent Autonomy That Uses Opinion Dynamics and Multi-Objective Behavior Optimization
por: Paine, Tyler M., et al.
Publicado: (2023)

CTS-CBS: A New Approach for Multi-Agent Collaborative Task Sequencing and Path Finding
por: Jiang, Junkai, et al.
Publicado: (2025)

Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning
por: Shi, Yuchen, et al.
Publicado: (2024)

Multi Agent Switching Mode Controller for Sound Source localization
por: Sorge, Marcello, et al.
Publicado: (2025)

Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration
por: Xu, Cheng, et al.
Publicado: (2024)

Safety Guaranteed Robust Multi-Agent Reinforcement Learning with Hierarchical Control for Connected and Automated Vehicles
por: Zhang, Zhili, et al.
Publicado: (2023)

Robust and Safe Multi-Agent Reinforcement Learning with Communication for Autonomous Vehicles: From Simulation to Hardware
por: Smith, Keshawn, et al.
Publicado: (2025)

SniffySquad: Patchiness-Aware Gas Source Localization with Multi-Robot Collaboration
por: Cheng, Yuhan, et al.
Publicado: (2024)

PECMAN: Perception-enabled Collaborative Multi-Agent Navigation in Unknown Environments
por: Fang, Tianchonghui, et al.
Publicado: (2026)

Multi-Agent LLM Actor-Critic Framework for Social Robot Navigation
por: Wang, Weizheng, et al.
Publicado: (2025)

Decoupling Geometric Planning and Execution in Scalable Multi-Agent Path Finding
por: Salanova, Fernando, et al.
Publicado: (2026)

MAPF-HD: Multi-Agent Path Finding in High-Density Environments
por: Makino, Hiroya, et al.
Publicado: (2025)

Differentiable Environment-Trajectory Co-Optimization for Safe Multi-Agent Navigation
por: Gao, Zhan, et al.
Publicado: (2026)

Cooperative Hybrid Multi-Agent Pathfinding Based on Shared Exploration Maps
por: Liu, Ning, et al.
Publicado: (2025)

Mitigating Side Effects in Multi-Agent Systems Using Blame Assignment
por: Rustagi, Pulkit, et al.
Publicado: (2024)

GameChat: Multi-LLM Dialogue for Safe, Agile, and Socially Optimal Multi-Agent Navigation in Constrained Environments
por: Mahadevan, Vagul, et al.
Publicado: (2025)