Satisfaction probabilities for homogeneous stochastic MAS under cLTL admit DFA-based tensor decomposition, enabling a dual-tree value iteration framework that reduces redundant dynamic programming computations.
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Compressing Correct-by-Design Synthesis for Stochastic Homogeneous Multi-Agent Systems with Counting LTL
Satisfaction probabilities for homogeneous stochastic MAS under cLTL admit DFA-based tensor decomposition, enabling a dual-tree value iteration framework that reduces redundant dynamic programming computations.