AI & Machine Learning · Computer Science & AI
Multiagent Systems
The newest papers in Multiagent Systems that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
829 papers, from 4 September 2026 to 5 November 2026: 829 arXiv preprints.
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Newest papers, page 24
Agent Behavior as Code: Efficient and Robust LLM Agents with Programmatic Specifications
AI agents based on foundation models (FMs) have demonstrated strong capabilities to perform complex open-ended tasks.Viva La Vida: Verification and Accumulation Failures in Multi-Agent Proof Search
When an agentic prover works on an open problem, there is no proof assistant to fall back on: its verifier and lemma library are ultimately language models judging model outputs.Increasing Resilience of Smart Home Agents
Smart homes and smart devices are becoming more prevalent across millions of homes around the world.Orchestrating Level-$K$ Policies Against Unknown Opponents in Partially-Observable Dynamic Games
Level-$K$ reasoning generates a hierarchy of policies specialized to opponents with different reasoning levels.Min-Max Uniform Circle Formation by Asynchronous Mobile Robots
Given a set of point robots $\mathcal{R}$ in the Euclidean plane and a target circle $\mathbf C$ enclosing all robot positions, the \textsc{Min-Max Uniform Circle Formation (MMUCF)} problem requires…Communication Shapes Collective Inference in Self-Adapting LLM Societies: Evidence from Mafia
When does communication help a group identify hidden adversaries, and how does its value change as the group adapts?templar: agentic induction and evolution of standardized radiology reporting templates from large-scale clinical corpora
Structured radiology reporting mitigates the heterogeneity of free-text reports, yet its benefits depend on high-quality reporting templates.Synergizing Drone Delivery Order Pooling and Road Network Monitoring through Monitoring-Task Orderization
This paper investigates the real-time dispatch of a shared drone fleet for on-demand food delivery and urban road network monitoring.Distributed Algorithms for $α$-Potential Functions in General-Sum Games
We study the problem of computing the tightest \(α\)-potential approximation of a general-sum game over continuous action spaces, within a prescribed class of potential functions and when each…Trust-Gated Capability Control: Breaking the Trust-Vulnerability Paradox in Multi-Agent LLM Systems
Layered trust models for multi-agent LLM systems remain largely conceptual: they name which dimensions of trust matter but not how layers combine, how their importance is set at runtime, or how…Playing social deduction games with reinforcement fine-tuned large language models
Reinforcement fine-tuning (RFT) is increasingly used in applications where large language models (LLMs) interact with humans and other agents.Evidence and Intervention: A Coupled Active-Inference Extension of Rational Speech Act Models
Identical utterance choices can arise from different communicative causes, and identical interpretations can leave different traces in what a listener learns.TrustMed-RL: Long-Horizon Reinforcement Learning for Evidence-Grounded Clinical Diagnosis
Medical language models can produce correct diagnoses despite incomplete investigations and unsupported reasoning.Budget-Constrained Fault-Tolerant Mutual Visibility for Autonomous Robots under the Mobility Fault Model
We investigate the mutual visibility problem for a swarm of $n\ge3$ autonomous mobile robots under the budget-constrained mobility fault model.Towards Credible Agent-Based Policy Simulations: Disentangling Opportunities and Preferences in a Financial Inclusion Case Study of Egypt
Credibility is a central topic for agent-based models intended to support policy-making.Quantifying Collusion Among Autonomous LLM Agents: A Statistical Analysis of the Collusion Wiki Incident
In August and September 2026, independent researchers publicly documented an unusual incident: thousands of autonomous agents, self identifying as OpenAI models on web research tasks, discovered and…Nonlinear Density-Driven Optimal Control (D2OC) for Multi-Agent Spatial Coverage via Sequential Convex Programming
This paper presents a nonlinear extension of Density-Driven Optimal Control (D2OC) for multi-agent spatial coverage with prescribed density distributions.When Debate Helps: Proposal Supply and Verification-Aware Readout in Multi-Agent Reasoning
Multi-agent debate can improve reasoning, yet often fails to beat simple majority voting.Organising Trajectory Evidence for Language-Model Agent Assurance: Fragments, Methods, and the Residual
Methods for assessing language-model agents include rule checkers over logs, analyses of skill coverage and composition, support checkers, prefix monitors, execution gates, and rare-event estimators.Lie Rarely, Lie Big: Stealthy Insider Attacks on LLM Robot Teams
When a team of robots delegates planning and mutual trust to LLM agents, a single compromised robot can corrupt the shared outcome.