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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More Agents, More Reliable? System-Level Reliability of Multi-Agent LLMs under Operational-Profile Uncertainty
Teams increasingly build software from cooperating large language model (LLM) agents, often assuming more agents mean more reliability.Interpretable Early Termination of Web Navigation Agents via Closed Sequential Pattern Mining
Web navigation agents built on open-weight language models fail often and fail late, with most of the tokens spent after the trajectory has become unrecoverable.Drift No More: Spectral Locking for Long-Horizon Open-Weight Multi-Agent AI
Long-horizon multi-agent systems suffer from three tightly coupled failures: task drift, role drift, and state staleness.ATC: Agent Trajectory Control for Role-Contract Enforcement in Black-Box Multi-Agent Systems
Multi-agent LLM systems assign different responsibilities to different agents: one plans, another retrieves evidence, another verifies, another executes.When Is Fresh AI Stock Analysis Worth It? Allocating a Limited Research Budget Across Price Updates, Deep Forecast Refreshes, and Editorial Reviews of Top Stock Picks
When is another AI research run worth more than keeping that money invested?Distributed Marginal Return: A Communication-Efficient Algorithm for Multi-Agent Weapon Target Assignment
The Weapon-Target Assignment (WTA) problem in distributed multi-agent systems is challenged by limited situational awareness and communication constraints.Goal-Driven Autonomous Optical Experimentation via a Self-Recursive Hardware-Software Harness
We propose goal-driven self-recursive optical research in which agents use physical evidence to revise the hardware, software, models, and protocols used to pursue a scientific goal.AttriSwarm: Orchestrating Agent Swarms for Cross-Page Visual Attribution
Multimodal large language models (MLLMs) increasingly address knowledge-intensive tasks by integrating evidence scattered across multiple document pages into a final answer.Are LLM Assistants Regulatory Ready? Answers from regenold's 2026 EU AI Act Q&A Challenge
Large language model (LLM) assistants are increasingly proposed for regulatory affairs, yet their reliability in regulatory tasks remains unclear.Inter-Agent Influence: Evaluating Persuasion, Deception, and Coercion in Multi-Agent Systems
The deployment of AI agents in multi-agent settings enables inter-agent influence, whereby agents can strategically steer each other's behaviour towards an intended outcome.Can Network Models of Science Do Without Pluralist Agents?
Science is a process of useful models being proven wrong time and again, but despite its many flaws, it somehow works.Cooperative Multi-Agent Reinforcement Learning with Submodular Trajectory Rewards
We study cooperative multi-agent reinforcement learning with decoupled dynamics and a monotone submodular reward function over joint trajectories.Local Visibility Roadmaps in Continous Multi-agent Path Finding
We address the problem of smooth continuous multi-agent path finding (SC-MAPF), where agents move in a continuous environment along smooth curves in continuous time.GeoFaham: Domain-Specialized Multi-Agent Geospatial Analytics for Disaster Response
Real-world geospatial decision support requires more than single-step retrieval or code generation.Haptic Shared Control for Multi-Robot Systems
Multi-agent systems offer significant advantages in terms of flexibility and redundancy, enabling the efficient distribution of complex tasks among multiple robots.MA-SafeDiffuser: Safe Multi-Agent Planning with Diffusion Probabilistic Models
We propose MA-SafeDiffuser, a multi-agent extension of SafeDiffuser that equips diffusion-based trajectory planners with finite-time diffusion invariance guarantees for joint-agent safety…Decision Models as Scalable Economic Surrogates that Capture Human Variation
Decision Models (DMs), a new class of AI models, give fast responses and return a probability distribution over a fixed set of options.Same Method, Different Task: What the Bitter Lesson Does Not License in Social Simulation
The bitter lesson holds that general methods leveraging computation defeat hand-encoded domain knowledge.Mechanical Engineering Skills: An Open Library of Agent Skills for Design, Analysis and Manufacturing
Mechanical engineers use specialized tools for CAD, simulation, manufacturing and research, each with a distinct interface and learning curve.Scientific Liquidity Agents: An Agent-Based Model of Knowledge Arbitrage in Scientific Communities
Scientific knowledge gains new uses when ideas, methods, and results move between research contexts.