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Coordination Matters: Evaluation of Cooperative Multi-Agent Reinforcement Learning
Published in ArXiv cs.MA Recent Papers (2026)Subjects: “…ArXiv cs.MA Recent Papers…”
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Sustaining Cooperation in Populations Guided by AI: A Folk Theorem for LLMs
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Optimizing Social Utility in Sequential Experiments
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AgenticPrecoding: LLM-Empowered Multi-Agent System for Precoding Optimization
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Independent Learning of Nash Equilibria in Partially Observable Markov Potential Games with Decoupled Dynamics
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From Agent Loops to Deterministic Graphs: Execution Lineage for Reproducible AI-Native Work
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Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs
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Power-Efficiency and Scalability Analysis of Magnetically-Actuated Satellite Swarms via Convex Optimization
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Multiagent Stochastic Shortest Path Problem
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BioResearcher: Scenario-Guided Multi-Agent for Translational Medicine
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Auto Research with Specialist Agents Develops Effective and Non-Trivial Training Recipes
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Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
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Retrieval-Conditioned Topology Selection with Provable Budget Conservation for Multi-Agent Code Generation
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FinRAG-12B: A Production-Validated Recipe for Grounded Question Answering in Banking
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Relational Dualities and Bisimulation
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MANTRA: Synthesizing SMT-Validated Compliance Benchmarks for Tool-Using LLM Agents
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Edit Distance of Finite-Valued Transducers
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Graded Monad Coalgebras for Continuous-Time Transition Systems
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Decidability Results for Fragments of First-Order Logic via a Symbolic Model Property
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Self-Correcting Gossip Protocols
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