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 22
EIO-Agents: The Missing Semantic Layer for AI Agent Evaluation
AI agents are entering production in increasingly consequential environments without a shared semantic standard for what their evaluations actually mean.Independent Multi-Agent Reinforcement Learning with Counterfactual Semantic-Social World Models
Fully decentralized multi-agent reinforcement learning (MARL), also referred to as independent learning, requires each agent to learn and act using only its local information and experience, without…Do I Need the Cloud? Uncertainty-Aware Step-Level Handoff for Small Language Model Agents
Small language models (SLMs) are attractive as local agent controllers because they reduce remote inference, latency, and deployment footprint, yet structured tool errors can cause an agent step to…Harness Engineering for Software Engineering via Modular Executable Dev-Primitives
Large language models (LLMs) equipped with terminal access have demonstrated strong capabilities in automating software engineering tasks.Self-Referenced Social Preferences: Cooperation without Observing Others Rewards
Social preferences can promote cooperation in multi-agent reinforcement learning, but existing approaches often require agents to observe the rewards of their peers.Partially Observable Zero-shot coordination by Predicting Intention of Partner
Zero-shot coordination in embodied settings requires acting while the partner is intermittently out of view, leaving existing methods with ambiguous partner representations and uncertainty over…Token-Efficient Multi-Agent Collaboration via System One-Guided Computational Division of Labor
Large language model (LLM)-based multi-agent systems (MAS) have become a promising paradigm for complex information-seeking and reasoning tasks by enabling collaborative problem solving among…Visual Orchestration Tax in Agentic VLM Pipelines: Auditing and Certifying Visual Evidence Reuse
Agentic VLM pipelines increasingly pass the same static visual evidence through multiple specialist agents and tools.Communication-Free Obstacle Localization from Aggregate Wrench Measurements in Leader--Follower Cooperative Transport
We consider obstacle localization for a team of robots cooperatively transporting a rigid payload without explicit inter-robot communication.SC3BF: Shifted Collision Cone Control Barrier Function for Dynamic Obstacle Avoidance
The collision cone used by velocity-space control barrier functions is conservative: it rejects every relative velocity aimed into an obstacle, however slow.Network Intervention by Polling Strategic Agents
A planner in a network of strategic agents faces three entangled challenges: the optimum depends on agents' private information, queried agents may misreport to steer the outcome, and exact…Recursive Game Creator: An Agentic Product-Level Experience-Oriented Game Harness
Recent game design agents have made substantial progress in generating playable games.A Case Study in Assuring AI-Written Software
Software-engineering agents can enable people without formal software training to build systems they could not otherwise implement and simultaneously can produce more code than even experts can…Can AI Agents Make Open-Ended Scientific Discovery? Evidence from Station
Recent AI systems have made rapid progress in scientific discovery when given well-defined metrics, but whether they can autonomously undertake open-ended scientific discovery remains unclear.Learning to Report Unsafe Tasks in a Multi-Agent Game
When a team of agents shares a reward for completed tasks, reporting and stopping unsafe work reduces the team's reward.Shared-Roadmap Generation and Evaluator for Multi-Agent Path Planning Using Heterogeneous Graph Neural Network
Multi-agent path planning (MAPP) in continuous environments often relies on roadmaps to balance safety and search efficiency.When the Governor Becomes the Disturbance: Control-Generated Disturbance and Cost-Aware Backoff in Governed Tool-Using Agents
Supervisory governors can interfere with the tool-using agents they regulate.SwarmReconGuard: Black-Box Detection of Distributed Collective Reconnaissance by Individually Benign-Looking Agent Populations
Autonomous and agentic clients can distribute reconnaissance across many identities so that each request remains valid, low-rate, and benign-looking while the population collectively acquires broad…AGAR: a reinforcement learning substrate for LLM program evolution
Given a task and an evaluator, a language model can rewrite a candidate program while a search loop decides which rewrites survive, offering a practical route to algorithm discovery.Can CaMeLs Talk? Securing Multi-Agent Systems Against Indirect Prompt Injection Attacks
Indirect prompt injection attacks - malicious instructions embedded in content processed by large language models - remain a major obstacle to safely deploying tool-using agents.