cs.MA · 2026-06-15 · No. 24

Multiagent Systems, 2026-06-15.

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

    Learning Coordinated Preference for Multi-Objective Multi-Agent Reinforcement Learning

    Pengxin Wang, Lihao Guo, Yi Xie, Bo Liu, Siyang Cao, Jingdi Chen

    cs.MA · cs.AI

    Cooperative multi-objective multi-agent reinforcement learning (MOMARL) models team decision making under multiple, potentially conflicting objectives. In this setting, conflicts arise not only across objectives but also across agents with different observations, roles, and contributions. We propose Preference Coordinated Multi-agent Policy Optimization (PCMA), which learns coordinated agent-specific preferences to enable complementary...

    arxiv.org/abs/2606.14693 · PDF

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