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 19
Jevolution: A Framework for Studying Communication and Collective Dynamics in AI Agents
Experiments with remote decision-making agents depend on more than the policy: the world may change during inference, the simulator determines which actions are available, and births and immigration…What Counts as the Same Task? Executable Contracts for Robustness Evaluation of Tool-Using Agents
Robustness tests for tool-using agents often change the agent's environment, for example by hiding a hostile note in an invoice, and then judge the agent by what it does.Optimize Once, Execute Fast: Latency-Aware Multi-Agent Workflow Learning for Recurrent Queries
Large Language Model-based Multi-Agent Systems (LLM-based MAS) have shown remarkable success in solving complex tasks by coordinating specialized agents through multi-step workflows.SEPM: Self-Evolving Procedural Memory Grounded in Task Graphs for Multi-Agent Collaboration
Long-horizon multi-agent collaboration requires memory that preserves both successful actions and the coordination structure underlying them.FDE-Bench: Evaluating End-to-End Delivery from Underspecified Real-World Business Requests
Real-world business requests often leave key requirements unstated because frontline practitioners struggle to articulate rules they know from experience.Iterate on an LLM, Serve on an SLM
As frontier LLMs gain more capabilities, the cost to run them also goes up.Beyond Independent Values: Optimal Auctions with Correlated Valuations for LLM-Native Advertising
Conversational assistants are becoming the place where people ask what to buy, and sponsored content is moving into their answers.Does Failure Feedback Direct Agent Self-Modification?
Self-improving agents use failure feedback to revise their code or instructions, but gains after selection do not establish target-specific repair or generalization.sGLP: Simulating People with Stochastic Agents
Grassroots platforms are designed to be owned, operated and governed by their participants, and thus are constituted from person-to-person smartphone apps that are run by the participants.EAIR: Interaction Risks in Enterprise LLM Multi-Agent Systems
LLM agents increasingly divide enterprise work across roles with different goals, authority, access, and information.MARL-BattleGrounds: A Novel JAX-native Benchmark for Heterogeneous and Competitive Multi-agent RL
We present MARL-BattleGrounds (MARL-BGs), an easy-to-use JAX-native benchmark for heterogeneous and competitive multi-agent reinforcement learning (MARL), designed to be sample-efficient…Conflict-Aware Autonomous Resource Orchestration for 5G Edge Slicing Using Multi-Agent Systems and LLMs
5G edge network slicing must reconcile two coupled requirements: understanding high-level operator intent and reallocating scarce computing and bandwidth resources under dynamic contention.Continuous Risk-Based Scheduling for Food Safety Inspection: Integrating Historical Decay with Event-Driven Consumer Review Signals
Batch risk-based inspection scheduling struggles to detect a critical failure class: food facilities with recent clean inspections that subsequently develop severe violations.Persistent LLM Orchestration of Heterogeneous Robot Teams via Partial Delegation to Multi-Agent Protocols
Natural language specifications let non-expert users task robot teams, and large language models (LLMs) have recently proven effective at grounding such semantic specifications into plans for…Reward Hacking as a Transmissible Strategy in Multi-Agent Coding Systems
Multi-agent systems are increasingly used to solve coding tasks by coordinating agents that share code and plans.SwingGuard: Risk-Conditioned Multi-Agent Swing Trading with Dual-Timescale Governance
Cryptocurrency swing trading spans mismatched timescales: positions remain active while market and event risk can change within minutes.Failure-Resilient Multi-Robot Coordination with $k$-Connectivity Constrained Submodular Maximization
Multi-robot coordination is essential in applications such as coverage, target tracking, and information gathering, where robots must jointly select actions to maximize team performance.The value of information and the emergence of communication in evolved e-puck robots
We study when communication emerges between autonomous agents and what role an innate action selection architecture plays.The Limits of Manipulation within Personalized Incentive Policies
Demand management policies aim to shift individual behavior toward sustainable choices (e.g., goods, transport modes).JANUS: Enhancing Long-Horizon Autonomous Research with Co-Evolving World Models
Long-horizon autonomous research has shown promise in accelerating scientific progress through sustained cycles of hypothesis generation, implementation, and validation.