cs.MA · 2026-05-25 · No. 9

Multiagent Systems, 2026-05-25.

2 new papers in cs.MA. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning

    Elie Abboud, Oren Gal

    cs.MA · cs.AI

    Sparse rewards are a major bottleneck in multi-agent reinforcement learning (MARL), where simultaneous learning induces non-stationarity and makes reward design especially delicate. Reward shaping can accelerate learning, but in the multi-agent setting it must preserve the strategic structure of the problem rather than merely improve short-term optimization. We propose Automatic Reward-shaping in Multi-agent Systems (ARMS), a self-supervised...

    arxiv.org/abs/2605.23562 · PDF

  2. 02

    A Generalized Nash Equilibrium-Seeking Scheme for Trauma Resuscitation

    Promise Ekpo, Angelique Taylor, Lekan Molu

    cs.MA · cs.DC · cs.GT · eess.SY

    Trauma resuscitation is a clinical process for treating life-threatening physiological disorders in safety-critical environments, driven by the experience of healthcare workers (HCWs). Designing and optimizing quantifiable metrics that accurately capture HCW decisions may augment current resuscitation procedures with the potential to improve patient outcomes. This motivates our socio-technical formulation of trauma resuscitation as a...

    arxiv.org/abs/2605.22661 · PDF

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