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AAFLOW: Scalable Patterns for Agentic AI Workflows
Published in ArXiv cs.MA Recent Papers (2026)Subjects: “…ArXiv cs.MA Recent Papers…”
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Coopetition-Gym v1: A Formally Grounded Platform for Mixed-Motive Multi-Agent Reinforcement Learning under Strategic Coopetition
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Moira: Language-driven Hierarchical Reinforcement Learning for Pair Trading
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A Language for Describing Agentic LLM Contexts
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Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning
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MAGIC: Multi-Step Advantage-Gated Causal Influence for Multi-agent Reinforcement Learning
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Koopman Representations for Early Outbreak Warning and Minimal Counterfactual Intervention in Multi-Agent Epidemic Simulations
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Talk is Cheap, Communication is Hard: Dynamic Grounding Failures and Repair in Multi-Agent Negotiation
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Architectural Obsolescence of Unhardened Agentic-AI Runtimes
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Distributed Algorithm with Emergent Area Partitioning and Base Station's Situation Awareness for Multi-Robot Patrolling
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LLM-Foraging: Large Language Models for Decentralized Swarm Robot Foraging
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HepScript: A Dual-Use DSL for Human-AI Collaborative Data Analysis Workflows in High-Energy Physics
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rAIson: Developing Reliable Decision-Making Agents
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When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems
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Governing What the EU AI Act Excludes: Accountability for Autonomous AI Agents in Smart City Critical Infrastructure
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Separation Assurance between Heterogeneous Fleets of Small Unmanned Aerial Systems via Multi-Agent Reinforcement Learning
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Physics-Grounded Multi-Agent Architecture for Traceable, Risk-Aware Human-AI Decision Support in Manufacturing
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QKVShare: Quantized KV-Cache Handoff for Multi-Agent On-Device LLMs
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FINER-SQL: Boosting Small Language Models for Text-to-SQL
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MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents
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