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News/Learning Rational Strategies for Temporal Objectives in Multi-Agent Systems
arxiv
PublishedOctober 16, 2026 at 4:00 AM

Learning Rational Strategies for Temporal Objectives in Multi-Agent Systems

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arXiv:2610.22287v1 Announce Type: new Abstract: We study rational synthesis for stochastic multi-agent systems with unknown dynamics, where each agent is equipped with its own probabilistic temporal objective specified using Probabilistic Linear Temporal Logic on Finite Traces ($\mathsf{PLTL}_f}$).

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