Imagen de Portada

Split over $n$ resource sharing problem: Are fewer capable agents better than many simpler ones?

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Soma, Karthik, Talamali, Mohamed S., Miyauchi, Genki, Beltrame, Giovanni, Hamann, Heiko, Gross, Roderich
Formato:	Preprint
Publicado:	2026
Materias:	Robotics Multiagent Systems
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Ready, Bid, Go! On-Demand Delivery Using Fleets of Drones with Unknown, Heterogeneous Energy Storage Constraints
por: Talamali, Mohamed S., et al.
Publicado: (2025)

The Hive Mind is a Single Reinforcement Learning Agent
por: Soma, Karthik, et al.
Publicado: (2024)

On the Benefits of Robot Platooning for Navigating Crowded Environments
por: Argote-Gerald, Jahir, et al.
Publicado: (2024)

Design for One, Deploy for Many: Navigating Tree Mazes with Multiple Agents
por: Argote-Gerald, Jahir, et al.
Publicado: (2025)

Evolution of Societies via Reinforcement Learning
por: Bouteiller, Yann, et al.
Publicado: (2024)

Multi-Defender Single-Attacker Perimeter Defense Game on a Cylinder: Special Case in which the Attacker Starts at the Boundary
por: Otte, Michael, et al.
Publicado: (2026)

Warmth and Competence in the Swarm: Designing Effective Human-Robot Teams
por: Miyauchi, Genki, et al.
Publicado: (2026)

Bimodal Synchronization Performance: Why Noise and Sparse Connectivity Can Improve Collective Timing
por: Aust, Till, et al.
Publicado: (2026)

Self-Organized Construction by Minimal Surprise
por: Kaiser, Tanja Katharina, et al.
Publicado: (2024)

Innate Motivation for Robot Swarms by Minimizing Surprise: From Simple Simulations to Real-World Experiments
por: Kaiser, Tanja Katharina, et al.
Publicado: (2024)

BIND-USBL: Bounding IMU Navigation Drift using USBL in Heterogeneous ASV-AUV Teams
por: Kedia, Pranav, et al.
Publicado: (2026)

Bayesian Decentralized Decision-making for Multi-Robot Systems: Sample-efficient Estimation of Event Rates
por: Aguirre, Gabriel, et al.
Publicado: (2025)

Sharing is caring: data sharing in multi-agent supply chains
por: Wang, Wan, et al.
Publicado: (2026)

Effects of non-uniform number of actions by Hawkes process on spatial cooperation
por: Miyagawa, Daiki, et al.
Publicado: (2024)

From homeostasis to resource sharing: Biologically and economically aligned multi-objective multi-agent gridworld-based AI safety benchmarks
por: Pihlakas, Roland
Publicado: (2024)

GNN-based Decentralized Perception in Multirobot Systems for Predicting Worker Actions
por: Imran, Ali, et al.
Publicado: (2025)

Optimal Scalability-Aware Allocation of Swarm Robots: From Linear to Retrograde Performance via Marginal Gains
por: Bingöl, Simay Atasoy, et al.
Publicado: (2025)

Do We Run Large-scale Multi-Robot Systems on the Edge? More Evidence for Two-Phase Performance in System Size Scaling
por: Kuckling, Jonas, et al.
Publicado: (2023)

The Heterogeneous Multi-Agent Challenge
por: Dansereau, Charles, et al.
Publicado: (2025)

Speed-Weighted Adaptive Flocking for Sailing Swarms under Dynamic Environmental Forcing
por: Kedia, Pranav, et al.
Publicado: (2026)

ROS2swarm - A ROS 2 Package for Swarm Robot Behaviors
por: Kaiser, Tanja Katharina, et al.
Publicado: (2024)

On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System
por: Roshdi, Mohamed, et al.
Publicado: (2024)

Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection
por: Cui, Yue, et al.
Publicado: (2025)

Improving Global Parameter-sharing in Physically Heterogeneous Multi-agent Reinforcement Learning with Unified Action Space
por: Yu, Xiaoyang, et al.
Publicado: (2024)

GenSwarm: Scalable Multi-Robot Code-Policy Generation and Deployment via Language Models
por: Ji, Wenkang, et al.
Publicado: (2025)

Turn-based Multi-Agent Reinforcement Learning Model Checking
por: Gross, Dennis
Publicado: (2025)

Joint Optimization of Multi-agent Memory System
por: Mao, Wenyu, et al.
Publicado: (2026)

CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making
por: Minelli, Giovanni, et al.
Publicado: (2023)

Emergence of agriculture in an artificial society of reinforcement learning agents
por: Hamon, Gautier, et al.
Publicado: (2026)

A multi-agent model of hierarchical decision dynamics
por: Kinsler, Paul
Publicado: (2024)

Streaming Multi-agent Pathfinding
por: Tang, Mingkai, et al.
Publicado: (2025)

Graph-theoretic Agreement Framework for Multi-agent LLM Systems
por: Javed, Muhammad Umar
Publicado: (2026)

Motion Prediction of Multi-agent systems with Multi-view clustering
por: James, Anegi, et al.
Publicado: (2024)

Multi-agent systems for chemical engineering: A review and perspective
por: Rupprecht, Sophia, et al.
Publicado: (2025)

A systematic review of norm emergence in multi-agent systems
por: Cordova, Carmengelys, et al.
Publicado: (2024)

Engineering Resilience: An Energy-Based Approach to Sustainable Behavioural Interventions
por: Malavalli, Arpitha Srivathsa, et al.
Publicado: (2025)

An Identity Based Agent Model for Value Alignment
por: Sama, Karthik, et al.
Publicado: (2024)

Robust Multi-agent Communication Based on Decentralization-Oriented Adversarial Training
por: Ma, Xuyan, et al.
Publicado: (2025)

IFS: Information Flow Structure for Multi-agent Ad Hoc System
por: Fu, Yanqing, et al.
Publicado: (2025)

A mechanism for discovering semantic relationships among agent communication protocols
por: Berges, Idoia, et al.
Publicado: (2024)