Generative Modelling with Design Constraints – Reinforcement Learning for Object Generation

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Author
Akizuki, Yuta
Bernhard, Mathias
Kladeftira, Marirena
Kakooee, Reza
Dillenburger, Benjamincc
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Date
2020
Type
    Conference Paper
Rights / license
Creative Commons Attribution 4.0 International
Permanent link
https://doi.org/10.3929/ethz-b-000452958
Publication status
published
External links
http://papers.cumincad.org/cgi-bin/works/paper/caadria2020_306
Editor
Holzer, Dominik
Nakapan, Walaiporn
Globa, Anastasia
Koh, Immanuel
Book title
RE: Anthropocene, Design in the Age of Humans – Proceedings of the 25th CAADRIA Conference
Journal / series
CAADRIA
Volume
1
Pages / Article No.
445 - 454
Publisher
Association for Computer Aided Architectural Design Research in Asia
Event
5th Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2020), Bangkok, Thailand, August 5–6, 2020
Subject
Generative design; computational design; data-driven design; reinforcement learning; machine learning
Organisational unit
02284 - NFS Digitale Fabrikation / NCCR Digital Fabrication
01076 - MAS ETH Architecture and Digit. Fabic / MAS ETH Architecture and Digit. Fabic  
02602 - Inst. f. Technologie in der Architektur / Institute for Technology in Architecture
09566 - Dillenburger, Benjamin / Dillenburger, Benjamin  
02655 - Netzwerk Stadt und Landschaft D-ARCH
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