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 # PAYNT
 
-PAYNT (Probabilistic progrAm sYNThesizer) is a tool for the automated synthesis of probabilistic programs. PAYNT takes a program with holes (a so-called sketch) and a PCTL specification, and outputs a concrete hole assignment that yields a satisfying program, if such an assignment exists. PAYNT also supports the synthesis of finite-state controllers for POMDPs. Internally, PAYNT interprets the incomplete probabilistic program as a family of Markov chains and uses state-of-the-art synthesis methods on top of the model checker [Storm](https://github.com/moves-rwth/storm) to identify satisfying realization. PAYNT is implemented in Python and uses [Stormpy](https://github.com/moves-rwth/stormpy), Python bindings for Storm. PAYNT is hosted on [github](https://github.com/randriu/synthesis).
+PAYNT (Probabilistic progrAm sYNThesizer) is a tool for the automated synthesis of probabilistic programs. PAYNT takes a program with holes (a so-called sketch) and a PCTL specification, and outputs a concrete hole assignment that yields a satisfying program, if such an assignment exists. PAYNT also supports the synthesis of finite-state controllers for POMDPs and Dec-POMDPs. Internally, PAYNT interprets the incomplete probabilistic program as a family of Markov chains and uses state-of-the-art synthesis methods on top of the model checker [Storm](https://github.com/moves-rwth/storm) to identify satisfying realization. PAYNT is implemented in Python and uses [Stormpy](https://github.com/moves-rwth/stormpy), Python bindings for Storm. PAYNT is hosted on [github](https://github.com/randriu/synthesis).
 
 PAYNT is described in 
 - [1] PAYNT: A Tool for Inductive Synthesis of Probabilistic Programs by Roman Andriushchenko, Milan Ceska, Sebastian Junges, Joost-Pieter Katoen and Simon Stupinsky