AI & Machine Learning · Computer Science & AI
Multiagent Systems
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829 papers, from 4 September 2026 to 5 November 2026: 829 arXiv preprints.
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Newest papers, page 31
Robust Game-theoretic Motion Planning over Extended Time Horizons
This work presents a solution to nonconvex, game-theoretic motion planning problems subject to disturbances over long time horizons.Prefill-Free Cross-Family KV Cache Transfer for Heterogeneous Multi-Agent LLMs
Recent multi-agent LLM systems increasingly combine heterogeneous models for specialized agent roles.GLIDE: Generalized Layer-wise Intrinsic Distributional Evaluation for Heterogeneous LLM Agents
LLM agents require reliable step-level evaluation to compare candidate branches and allocate computation effectively.Agentsensus: Consensus-Compressed Shared Memory for Multi-Agent Story Worlds
A agentic story world is a dynamic system simulating who learned what, when, and from whom -- yet the standard design gives each character a private memory stream.Enabling Timely Guidance before Skill Retrieval: Retaining Helpful Warm Tips in Agent Context
Reusable skills help LLM-based agents solve complex tasks, but the agent must receive guidance before it commits to an ineffective approach.AsynCodeBench: Benchmarking Collaboration of Asynchronous Multi-Agent Systems in Software Engineering
Multi-agent coding has emerged as an increasingly active direction in software engineering, where complex development tasks are decomposed across multiple specialized agents working on different…When Better Gets Worse: Improvement Fidelity for Self-Improving Agents in Adaptive Worlds
Self-improving agents increasingly rely on proxy verifiers to choose policy updates, yet deployment can change the world in which those updates are evaluated.Self-Evolving Multi-Agent Symbolic Discovery for Financial Fundamental Analysis
While symbolic regression (SR) has been successfully used in science to discover new equations, its use in financial valuation is hindered by several limitations.CollisionGAT: Controller-Agnostic One-Step Collision Screening for Multi-Agent Motion
Before a team of robots moves, each proposed step must be checked for collisions with other robots and with obstacles.Adaptive and Resilient Dual-Layer Resource Slicing for Hovering Aerial Backhaul Networks
This paper investigates adaptive and resilient dual-layer resource slicing in hovering aerial agent (HAA)-assisted backhaul networks for heterogeneous 5G/6G services, including enhanced mobile…Improving LLM Collaboration via Multi-Agent Preference Learning
Several works have explored multi-agent reinforcement learning (MARL) in LLM collaboration.Planner-as-Router: Joint Plan-Time Model Routing for Cost-Efficient Multi-Agent Workflows
Running large language model (LLM) agents in production gets expensive fast.Theory of Scene: Breaking the Symmetry Trap in Multi-Agent LLM Coordination
Multi-agent systems built on large language models (LLMs) are largely homogeneous, as their agents behave alike even across distinct LLMs.Beyond Symmetric Agents: Cognitive Diversity and Multi-Agent Debate in Small Language Models
Multi-agent debate (MAD) reportedly improves reasoning and factuality over single-model inference, but prior work treats agents as symmetric peers, leaving open what drives the gains.Governing the Edge: Automating Commercial Property and Casualty Insurance Underwriting via a Hybrid Local-Cloud Multi-Agent Framework
Underwriters in commercial Property and Casualty (P&C) insurance spend 30 to 40% of their time on administrative work rather than risk judgment, and a single submission takes about 40 minutes by hand.VeriWeave Govern: Evidence-Gated Deterministic Runtime Governance for Enterprise AI Agents
Enterprise artificial-intelligence agents increasingly call tools, modify infrastructure, and process protected data, creating a need to separate action generation from action authorization.ADF-EA: A Unified Execution Assurance System for Agent Device Foundation
Agents based on large language models (LLMs) can access heterogeneous devices through tools and APIs, but reliable execution must account for unmet effects, uncertain outcomes, and changing…The Crowd in the Machine: A Crisis-Informatics Reading of the 2026 Autonomous Agent Incidents
Twice in 2026, groups of autonomous AI agents deployed by OpenAI for unrelated tasks operated, by design, under restrictions that left them no sanctioned means of coordinating with one another, and…Collision-free Movement on Grids and Beyond
We study collision-free movement problems on graphs, where the task is to coordinate a set of robots so that they reach a target formation satisfying a desired property while minimizing the total…Towards Mitigating Fabricated Consensus: The Active Provenance Gate for Multi-Agent Debate Synthesis
Large language model-based multi-agent debate (MAD) systems are being increasingly used as complex decision pipelines in distributed processes.