no code implementations • 5 Jun 2022 • Maximilian Schäfeller, Mohammad Abdulaziz
We formally verify executable algorithms for solving Markov decision processes (MDPs) in the interactive theorem prover Isabelle/HOL.
no code implementations • 25 Mar 2022 • Mohammad Abdulaziz, Lukas Koller
We derive from those semantics a validation algorithm for temporal planning and show, using a formal proof in Isabelle/HOL, that this validation algorithm implements our semantics.
no code implementations • 3 Mar 2021 • Mohammad Abdulaziz
We investigate upper bounds on the length of cost optimal plans that are valid for problems with 0-cost actions.
1 code implementation • 27 Oct 2020 • Mohammad Abdulaziz, Friedrich Kurz
We present an executable formally verified SAT encoding of classical AI planning.
no code implementations • 1 Jun 2020 • Mohammad Abdulaziz, Dominik Berger
We devise a method to exactly compute the length of the longest simple path in factored state spaces, like state spaces encountered in classical planning.