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2021
Paper (Preprint, Research Paper, Review Paper, White Paper, etc.)
Titel

Monte Carlo Tree Search for high precision manufacturing

Titel Supplements
Published on arXiv
Abstract
Monte Carlo Tree Search (MCTS) has shown its strength for a lot of deterministic and stochastic examples, but literature lacks reports of applications to real world industrial processes. Common reasons for this are that there is no efficient simulator of the process available or there exist problems in applying MCTS to the complex rules of the process. In this paper, we apply MCTS for optimizing a high-precision manufacturing process that has stochastic and partially observable outcomes. We make use of an expert-knowledge-based simulator and adapt the MCTS default policy to deal with the manufacturing process.
Author(s)
Weichert, Dorina
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Horchler, Felix
Bonn University
Kister, Alexander
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS
Trost, Marcus
Fraunhofer-Institut für Angewandte Optik und Feinmechanik IOF
Hartung, Johannes
Fraunhofer-Institut für Angewandte Optik und Feinmechanik IOF
Risse, Stefan
Fraunhofer-Institut für Angewandte Optik und Feinmechanik IOF
Project(s)
ML2R
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
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