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From the 4 of 103 linked papers with an AI index.

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20242026
most citedRandomized Greedy Methods for Weak Submodular Sensor Selection with Robustness Considerations

3 citations · 3 across the 32 of their papers we have counts for

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8 papers · 1 filter

cs.MA2026

Iterative Negotiation and Oversight: A Case Study in Decentralized Air Traffic Management

Jaehan Im, John-Paul Clarke, Ufuk Topcu +1

Achieving consensus among self-interested agents remains challenging in decentralized multi-agent systems, where agents often have conflicting preferences. Existing coordination me…

cs.MA2026

Characterizing Opinion Evolution of Networked LLMs

Caleb Probine, Yigit Ege Bayiz, Filippos Fotiadis +3

Large language models (LLMs) increasingly interact with one another in multi-agent systems, from simulations of human discourse to influence operations and fully LLM-driven social…

cs.MA2026

Sequential Resource Trading Using Comparison-Based Gradient Estimation

Surya Murthy, Mustafa O. Karabag, Ufuk Topcu

We study sequential multi-issue trading between two greedily rational agents who exchange resources from a finite set of categories. Each agent's utility depends on its allocation,…

cs.MA2026

When Should Agents Coordinate in Differentiable Sequential Decision Problems?

Caleb Probine, Su Ann Low, David Fridovich-Keil +1

Multi-robot teams must coordinate to operate effectively. When a team operates in an uncoordinated manner, and agents choose actions that are only individually optimal, the team's…

cs.MA2025

Integrated Noise and Safety Management in UAM via A Unified Reinforcement Learning Framework

Surya Murthy, Zhenyu Gao, John-Paul Clarke +1

Urban Air Mobility (UAM) envisions the widespread use of small aerial vehicles to transform transportation in dense urban environments. However, UAM faces critical operational chal…

cs.MA2025

Dynamic Coalition Structure Detection in Natural Language-based Interactions

Abhishek N. Kulkarni, Andy Liu, Jean-Raphael Gaglione +2

In strategic multi-agent sequential interactions, detecting dynamic coalition structures is crucial for understanding how self-interested agents coordinate to influence outcomes. H…