cs.MA · 2026-06-13 · No. 22

Multiagent Systems, 2026-06-13.

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

01 — The papers

1 entries
  1. 01

    $α$-fair heterogeneous agent reinforcement learning

    Yao-hua Franck Xu, Tayeb Lemlouma, Jean-Marie Bonnin, Arnaud Braud

    cs.MA · cs.GT · cs.LG

    Cooperation in multi-agent systems is typically optimized through utilitarian objectives that maximize overall efficiency but fail to account for reward distribution, often resulting in inequitable "leader-follower" dynamics. While fairness-based approaches encourage pro-social behaviors where every agent benefits from cooperation, many current algorithms - including those utilizing reward shaping - break the stationarity of Markov Games or...

    arxiv.org/abs/2606.13076 · PDF

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