PlayingWORDLE with UPPAAL STRATEGO

Publikation: Bidrag til bog/antologi/rapport/konference proceedingBidrag til bog/antologiForskningpeer review

Abstract

In this paper we model and solve the popular game Wordle using Uppaal Stratego. We model three different game-modes in terms of POMDPs, with more than 12,000 controllable actions. These constitute by far the largest models ever presented to Uppaal Stratego. Our experimental evaluation is encouraging: e.g. in the hard game-mode the partitioning-refinement learning method of Uppaal Stratego reduces the expected number of guesses from a baseline of 7.67 to 4.40 using 1 million training episodes. To better understand the convergence properties of our learning method we also study reduced versions of Wordle.

OriginalsprogEngelsk
TitelA Journey from Process Algebra via Timed Automata to Model Learning : Essays Dedicated to Frits Vaandrager on the Occasion of His 60th Birthday
RedaktørerNils Jansen, Mariëlle Stoelinga, Petra van den Bos
Antal sider23
ForlagSpringer
Publikationsdato2022
Sider283-305
ISBN (Trykt)978-3-031-15628-1
ISBN (Elektronisk)978-3-031-15629-8
DOI
StatusUdgivet - 2022
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind13560 LNCS
ISSN0302-9743

Bibliografisk note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Fingeraftryk

Dyk ned i forskningsemnerne om 'PlayingWORDLE with UPPAAL STRATEGO'. Sammen danner de et unikt fingeraftryk.

Citationsformater