Copertina

Proactive Distributed Emergency Response with Heterogeneous Tasks Allocation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Darko, Justice, Park, Hyoshin
Natura:	Preprint
Pubblicazione:	2022
Soggetti:	Systems and Control Artificial Intelligence Multiagent Systems
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Together We Rise: Optimizing Real-Time Multi-Robot Task Allocation using Coordinated Heterogeneous Plays
di: Pal, Aritra, et al.
Pubblicazione: (2025)

Unified Crew Planning and Replanning Optimization in Multi-Line Metro Systems Considering Workforce Heterogeneity
di: Chen, Qihang
Pubblicazione: (2025)

Conversational Demand Response: Bidirectional Aggregator-Prosumer Coordination through Agentic AI
di: Makroum, Reda El, et al.
Pubblicazione: (2026)

Learning Altruistic Collaboration in Heterogeneous Multi-Team Systems
di: Karam, Riwa, et al.
Pubblicazione: (2026)

Resource Allocation with Population Dynamics
di: Epperlein, Jonathan, et al.
Pubblicazione: (2016)

Learning a Stable, Safe, Distributed Feedback Controller for a Heterogeneous Platoon of Autonomous Vehicles
di: Shaham, Michael H., et al.
Pubblicazione: (2024)

A Global Games-Inspired Approach to Multi-Robot Task Allocation for Heterogeneous Teams
di: Beaver, Logan
Pubblicazione: (2025)

Mixture-of-Models: Unifying Heterogeneous Agents via N-Way Self-Evaluating Deliberation
di: Pecerskis, Tims, et al.
Pubblicazione: (2026)

Communication- and Computation-Efficient Distributed Submodular Optimization in Robot Mesh Networks
di: Xu, Zirui, et al.
Pubblicazione: (2024)

Resource-Aware Distributed Submodular Maximization: A Paradigm for Multi-Robot Decision-Making
di: Xu, Zirui, et al.
Pubblicazione: (2022)

Agentic AI Home Energy Management System: A Large Language Model Framework for Residential Load Scheduling
di: Makroum, Reda El, et al.
Pubblicazione: (2025)

GUIDE: Guided Updates for In-context Decision Evolution in LLM-Driven Spacecraft Operations
di: Carrasco, Alejandro, et al.
Pubblicazione: (2026)

Integrating Transit Signal Priority into Multi-Agent Reinforcement Learning based Traffic Signal Control
di: Kwesiga, Dickness Kakitahi, et al.
Pubblicazione: (2024)

Autonomous Control Leveraging LLMs: An Agentic Framework for Next-Generation Industrial Automation
di: Vyas, Javal, et al.
Pubblicazione: (2025)

Traffic Smoothing Controllers for Autonomous Vehicles Using Deep Reinforcement Learning and Real-World Trajectory Data
di: Lichtlé, Nathan, et al.
Pubblicazione: (2024)

Formal Control for Uncertain Systems via Contract-Based Probabilistic Surrogates (Extended Version)
di: Schön, Oliver, et al.
Pubblicazione: (2025)

Simulation-Based Optimistic Policy Iteration For Multi-Agent MDPs with Kullback-Leibler Control Cost
di: Nakhleh, Khaled, et al.
Pubblicazione: (2024)

Automotive Engineering-Centric Agentic AI Workflow Framework
di: Son, Tong Duy, et al.
Pubblicazione: (2026)

SPformer: A Transformer Based DRL Decision Making Method for Connected Automated Vehicles
di: Han, Ye, et al.
Pubblicazione: (2024)

MTTR-A: Measuring Cognitive Recovery Latency in Multi-Agent Systems
di: Or, Barak
Pubblicazione: (2025)

Grid-Agent: An LLM-Powered Multi-Agent System for Power Grid Control
di: Zhang, Yan, et al.
Pubblicazione: (2025)

Consensus-Aware AV Behavior: Trade-offs Between Safety, Interaction, and Performance in Mixed Urban Traffic
di: Elayan, Mohammad, et al.
Pubblicazione: (2025)

A Multi-Agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming
di: Shah, Mian Ibad Ali, et al.
Pubblicazione: (2023)

Performance-Aware Self-Configurable Multi-Agent Networks: A Distributed Submodular Approach for Simultaneous Coordination and Network Design
di: Xu, Zirui, et al.
Pubblicazione: (2024)

DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
di: Guillen-Perez, Antonio, et al.
Pubblicazione: (2025)

Decentralized Coordination of Distributed Energy Resources through Local Energy Markets and Deep Reinforcement Learning
di: May, Daniel, et al.
Pubblicazione: (2024)

Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
di: Guo, Xudong, et al.
Pubblicazione: (2024)

Optimal Output Feedback Learning Control for Discrete-Time Linear Quadratic Regulation
di: Xie, Kedi, et al.
Pubblicazione: (2025)

Towards Autonomous Supply Chains: Definition, Characteristics, Conceptual Framework, and Autonomy Levels
di: Xu, Liming, et al.
Pubblicazione: (2023)

System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility
di: Saves, Paul, et al.
Pubblicazione: (2025)

Generalizing Cooperative Eco-driving via Multi-residual Task Learning
di: Jayawardana, Vindula, et al.
Pubblicazione: (2024)

Bigraph Matching Weighted with Learnt Incentive Function for Multi-Robot Task Allocation
di: Paul, Steve, et al.
Pubblicazione: (2024)

Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility
di: Xia, Yuchen, et al.
Pubblicazione: (2024)

Adaptive Event-Triggered Policy Gradient for Multi-Agent Reinforcement Learning
di: Siddique, Umer, et al.
Pubblicazione: (2025)

Heterogeneous Multi-Agent Task-Assignment with Uncertain Execution Times and Preferences
di: Wei, Qinshuang, et al.
Pubblicazione: (2025)

Safe and Efficient CAV Lane Changing using Decentralised Safety Shields
di: Hegde, Bharathkumar, et al.
Pubblicazione: (2025)

Federated Split Learning for Resource-Constrained Robots in Industrial IoT: Framework Comparison, Optimization Strategies, and Future Directions
di: Ni, Wanli, et al.
Pubblicazione: (2025)

Worker Robot Cooperation and Integration into the Manufacturing Workcell via the Holonic Control Architecture
di: Sadik, Ahmed R., et al.
Pubblicazione: (2024)

Crazyflow: An Accurate, GPU-Accelerated, Differentiable Drone Simulator in JAX
di: Schuck, Martin, et al.
Pubblicazione: (2026)

A Hierarchical Agentic Framework for Autonomous Drone-Based Visual Inspection
di: Herron, Ethan, et al.
Pubblicazione: (2025)