Search Results for author: Andrew Wells

Found 2 papers, 1 papers with code

Model Checking Strategies from Synthesis Over Finite Traces

no code implementations15 May 2023 Suguman Bansal, Yong Li, Lucas Martinelli Tabajara, Moshe Y. Vardi, Andrew Wells

Our central result is that LTLf model checking of non-terminating transducers is \emph{exponentially harder} than that of terminating transducers.

Synthesis from Satisficing and Temporal Goals

1 code implementation20 May 2022 Suguman Bansal, Lydia Kavraki, Moshe Y. Vardi, Andrew Wells

An alternative approach combining LTL synthesis with satisficing DS rewards (rewards that achieve a threshold) is sound and complete for integer discount factors, but, in practice, a fractional discount factor is desired.

Reinforcement Learning (RL)

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