Cover Image

Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Vasilevski, Kirill, Lin, Dayi, Hassan, Ahmed E.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Computing Universal Plans for Partially Observable Multi-Agent Routing Using Answer Set Programming
by: Zhu, Fengming, et al.
Published: (2023)

CAMAR: Continuous Actions Multi-Agent Routing
by: Pshenitsyn, Artem, et al.
Published: (2025)

CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems
by: Hua, Chuanbo, et al.
Published: (2025)

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference
by: Guo, Xiyu, et al.
Published: (2025)

Flexible Swarm Learning May Outpace Foundation Models in Essential Tasks
by: Samadi, Moein E., et al.
Published: (2025)

FastOMOP: A Foundational Architecture for Reliable Agentic Real-World Evidence Generation on OMOP CDM data
by: Moeller-Grell, Niko, et al.
Published: (2026)

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

Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering
by: Salim, Mohamad, et al.
Published: (2026)

Learning Trust Over Directed Graphs in Multiagent Systems (extended version)
by: Akgün, Orhan Eren, et al.
Published: (2022)

Enhancing Online Learning Efficiency Through Heterogeneous Resource Integration with a Multi-Agent RAG System
by: Srivastav, Devansh, et al.
Published: (2025)

Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare
by: Garces, Daniel, et al.
Published: (2023)

Reasoning-Aware Prompt Orchestration: A Foundation Model for Multi-Agent Language Model Coordination
by: Dhrif, Hassen
Published: (2025)

Watson: A Cognitive Observability Framework for the Reasoning of LLM-Powered Agents
by: Rombaut, Benjamin, et al.
Published: (2024)

The Athenian Academy: A Seven-Layer Architecture Model for Multi-Agent Systems
by: Zhai, Lidong, et al.
Published: (2025)

Safe Continuous-time Multi-Agent Reinforcement Learning via Epigraph Form
by: Wang, Xuefeng, et al.
Published: (2026)

ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning
by: Hakim, Safayat Bin, et al.
Published: (2026)

Pro-Routing: Proactive Routing of Autonomous Multi-Capacity Robots for Pickup-and-Delivery Tasks
by: Garces, Daniel, et al.
Published: (2025)

STAR: Failure-Aware Markovian Routing for Multi-Agent Spatiotemporal Reasoning
by: Yang, Ruiyi, et al.
Published: (2026)

Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs
by: Mieczkowski, Elizabeth, et al.
Published: (2026)

Applying Multi-Agent Negotiation to Solve the Production Routing Problem With Privacy Preserving
by: Biasoto, Luiza Pellin, et al.
Published: (2024)

Modeling realistic human behavior using generative agents in a multimodal transport system: Software architecture and Application to Toulouse
by: Vu, Trung-Dung, et al.
Published: (2025)

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications
by: Han, Jindong, et al.
Published: (2025)

OPTAGENT: Optimizing Multi-Agent LLM Interactions Through Verbal Reinforcement Learning for Enhanced Reasoning
by: Bi, Zhenyu, et al.
Published: (2025)

Conceptual Logical Foundations of Artificial Social Intelligence
by: Werner, Eric
Published: (2025)

Single-Agent Scaling Fails Multi-Agent Intelligence: Towards Foundation Models with Native Multi-Agent Intelligence
by: Hu, Shuyue, et al.
Published: (2025)

Advancing Multi-Agent Systems Through Model Context Protocol: Architecture, Implementation, and Applications
by: Krishnan, Naveen
Published: (2025)

Improving monotonic optimization in heterogeneous multi-agent reinforcement learning with optimal marginal deterministic policy gradient
by: Yu, Xiaoyang, et al.
Published: (2025)

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

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems
by: Zhang, Dawen, et al.
Published: (2024)

Efficient Mixture-of-Agents Serving via Tree-Structured Routing, Adaptive Pruning, and Dependency-Aware Prefill-Decode Overlap
by: Wang, Zijun, et al.
Published: (2025)

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

Discovery and Deployment of Emergent Robot Swarm Behaviors via Representation Learning and Real2Sim2Real Transfer
by: Mattson, Connor, et al.
Published: (2025)

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

Operating-Layer Controls for Onchain Language-Model Agents Under Real Capital
by: Barton, T. J., et al.
Published: (2026)

Multi-agent Path Finding in Continuous Environment
by: Janovská, Kristýna, et al.
Published: (2024)

Modeling Layered Consciousness with Multi-Agent Large Language Models
by: Kim, Sang Hun, et al.
Published: (2025)

Swimming with Whales: Analysis of Power Imbalances in Stake-Weighted Governance
by: Zhang, Yuzhe, et al.
Published: (2026)

AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education
by: Chudziak, Jarosław A., et al.
Published: (2025)

AgentSchool: An LLM-Powered Multi-Agent Simulation for Education
by: Ye, Yulei, et al.
Published: (2026)

ICRL: Learning to Internalize Self-Critique with Reinforcement Learning
by: Lin, Jianbo, et al.
Published: (2026)