The authors introduce PriTL, an algorithm that infers concise PLTL formulas separating positive from negative Markov chains, with soundness proofs and demonstrations on RL policies and protocol variants.
Zavlanos, and Miroslav Pajic
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Learning Probabilistic Temporal Logic Specifications for Stochastic Systems
The authors introduce PriTL, an algorithm that infers concise PLTL formulas separating positive from negative Markov chains, with soundness proofs and demonstrations on RL policies and protocol variants.