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.
Get the few papers worth your time in Multiagent Systems every morning.
Follow Multiagent Systems and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 8
Preference-Guided Cooperation in Multi-Objective Multi-Agent Reinforcement Learning
Multi-objective multi-agent reinforcement learning (MOMARL) addresses agent coordination and objective trade-offs simultaneously while optimising overall system performance.PolicyMediator: Multi-Regional Policy Learning through Mediation Agents with Evolving Skills in OPC Ecosystems
One-person companies (OPCs) are emerging enterprises operated by individual entrepreneurs through digital platforms and LLM-based AI agents.Replication or Corroboration? An Axiomatic Framework for Evidential Dependence in Multi-Agent Debate
In multi-agent debates, matching reports can arise for two different reasons: agents may repeat the same evidence (replication), or they may provide separate evidential roots that support the same…EREBOTS 4.0: A framework for conversational assistants with A2A agents and MCP tools
In recent years, multi-agent systems have shifted from rule-based, symbolic agents to sub-symbolic agents built on language models.cuArms: GPU-Accelerated Conflict-Based Planning for Multi-Arm Manipulation
Multi-arm manipulation has the potential to dramatically improve the throughput, efficiency, and dexterity of many manipulation tasks.The Inbox as a Coordination Primitive for LLM Agent Societies
Language-model agents increasingly coordinate in large groups, and current agent protocols focus on delivering messages.Compatibility and future-proof testing for multi-agent systems
Independently developed autonomous agents, such as autonomous vehicles, must guarantee joint compatibility, such as safety and task-completion requirements, when they operate in a shared environment.Ontology-guided multi-agent reasoning for explainable differential diagnosis
Effective differential diagnosis depends on well structured and unambiguous patient case descriptions, since incomplete or ambiguous clinical information readily leads to diagnostic errors and…Bayesian Replicator Dynamics and the Inversion of Strict Dominance in Bimatrix Games
Replicator dynamics, the central model of evolutionary game theory, describe populations evolving under selection and agents learning by trial and error.Balancing Mobility Efficiency and Environmental Exposure During Mega Events: A Multi-agent Routing Framework
Mega events can generate concentrated travel demand, intensifying congestion around venues and increasing travelers' environmental exposure.BE-CTDE: Blockchain-Enabled Multi-Agent Reinforcement Learning with Anomaly Detection and Token Economics
Multi-agent reinforcement learning supports cooperative decision-making in Internet of Things systems, but strategic deviations can disrupt coordination and undermine confidence in the training…Weighted Fairness in Multi-User Earth Observation Satellite Scheduling
As constellations of satellite grow in size, and become more costly, they are increasingly funded by multiple stakeholders who expect access to the constellation's resources that is commensurate…6G Reasoning Agent Societies: Composition, Scaling, and Consistency-Time Laws
Emerging 6G control planes would compose Large Language Model (LLM) agents that exchange interpreted conclusions, so hallucinations can propagate even over error-free transport.EvolveMAS: A Unified Self-Evolution Framework for Decentralized Multi-Agent Systems
Decentralized multi-agent systems (MAS) enable large language model agents to interact without centralized control.DynaFlow: Learning Free-Form Multi-Agent Orchestration
Multi-agent systems often rely on predefined collaboration structures, limiting their ability to adapt to diverse task requirements.FlockWorld: Toward Population-Scale Multi-Agent Video World Models through Artificial Life Simulation
Most action-conditioned video world models remain limited to a single player, while existing multiplayer models support only small, fixed groups of agents.Agentic AI Orchestration Framework for Spatial Intelligence: Supply Chain Deployment
Industrial spatial decisions are assembled across systems that share neither a reference frame nor an owner, and analysts spend substantial effort reconciling those systems rather than reasoning…Online Fair Division with Frequency Predictions
We study online fair division of indivisible goods among $n$ agents with frequency predictions: before any good arrives, the algorithm learns the multiset of each agent's values for the goods, but…AgentProofBench: Benchmarking Reusable Verifiers for Web Agents
Reusable Web-agent verification requires a rule to follow changing requirements and support subsequent execution.AgentBaton: Efficient Model Collaboration in Agentic Tasks
Solving long-horizon agentic tasks requires language agents to interact with their environments over multiple steps, and reliable performance often comes from the expensive capable models available…