This page shows the most relevant public items for cs.MA, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Feb 20, 2026 • arXiv • Sethuraman et al., AAMAS 2026 Main Track
We propose Mixture-of-Reasoning Agents (MiRA), a zero-shot multimodal framework that decomposes reasoning across three specialized agents: Visual Analyzing, Text Comprehending, and Judge. By consol...
Paper • Oct 21, 2025 • arXiv • Thomas K. V., Yiming Zhang, Nils Bergmann
The integration of decentralized renewable energy sources and the massive power demands of AI datacenters have created unprecedented volatility in modern power grids. We introduce 'Energy Swarm', a...
Paper • Dec 1, 2025 • arXiv • Susan Athey, Michael I. Jordan
As Agentic AI systems are deployed to autonomously negotiate contracts, manage supply chains, and execute high-frequency trades, they form a complex, decentralized digital economy. This paper appli...
Paper • Nov 20, 2025 • arXiv • Dr. Yannick L., Sophia M., Wei C.
As Agentic AI swarms scale to thousands of interacting nodes driven by frontier language models, unexpected macro-level dynamics arise. We deploy a multi-agent simulation simulating a digital econo...
Paper • Jun 7, 2017 • arXiv • Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch
We explore deep reinforcement learning methods for multi-agent domains. We begin by analyzing the difficulty of traditional algorithms in the multi-agent case: Q-learning is challenged by an inhere...
Paper • Feb 23, 2026 • arXiv • Susan Athey, Michael I. Jordan
The proliferation of personal autonomous agents capable of executing micro-transactions, negotiating contracts, and performing high-speed arbitrage threatens to upend traditional market stability. ...
Paper • Feb 17, 2026 • arXiv • Zhaoyang Guan, Huixi Cao, Eric Yang, Lynn Ai
We address the problem of 'coordination collapse' in large-scale, decentralized multi-agent systems. We introduce Symphony-Coord, a protocol that enables emergent coordination through local communi...
Paper • Feb 16, 2026 • arXiv • Mingju Chen, Guibin Zhang, Heng Chang, Yuchen Guo
Traditional multi-agent systems often struggle with 'search breadth' in unstructured environments, leading to tunnel vision in reasoning. We propose A-MapReduce, a framework that applies the MapRed...
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