Cumincad : CUMINCAD References : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	ijac202119403z
in paper	Xi Han, Isla; Meggers, Forrest; Parascho, Stefana (2021) Bridging the collectives: A review of collective human–robot construction
authors	Hadfield-Menell D, Russell SJ, Abbeel P, et al.
year	2016
title	Cooperative inverse reinforcement learning
source	Advances neural information processing systems, Barcelona, Spain, 5–10 December 2016. pp. 3909–3917
last changed	2024/04/17 15:09

_id	ecaade2021_247mm
in paper	Wibranek, Bastian, Liu, Yuxi, Funk, Niklas, Belousov, Boris, Peters, Jan and Tessmann, Oliver (2021) Reinforcement Learning for Sequential Assembly of SL-Blocks - Self-interlocking combinatorial design based on Machine Learning
authors	Bello, I, Pham, H, Le, QV, Norouzi, M and Bengio, S
year	2016
title	Neural combinatorial optimization with reinforcement learning
source	arXiv preprint arXiv:1611.09940, 1611, pp. 1-15
last changed	2021/08/09 14:31

_id	acadia19_16i
in paper	Hosmer, Tyson; Tigas, Panagiotis (2019) Deep Reinforcement Learning for Autonomous Robotic Tensegrity (ART)
authors	Kulkarni, Tejas D, Karthik Narasimhan, Ardavan Saeedi, and Josh Tenenbaum.
year	2016
title	Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation
source	Advances Neural Information Processing Systems, 3675–83
last changed	2019/12/18 09:05

_id	acadia19_16o
in paper	Hosmer, Tyson; Tigas, Panagiotis (2019) Deep Reinforcement Learning for Autonomous Robotic Tensegrity (ART)
authors	Mao, Hongzi, Mohammad Alizadeh, Ishai Menache, and Srikanth Kandula.
year	2016
title	Resource Management with Deep Reinforcement Learning
source	Proceedings of the 15th ACM Workshop on Hot Topics Networks, 50–56
last changed	2019/12/18 09:05

_id	caadria2021_118a
in paper	Huang, Chien-hua (2021) Reinforcement Learning for Architectural Design-Build - Opportunity of Machine Learning in a Material-informed Circular Design Strategy
authors	Mousavi, S, Schukat, M and Howley, E
year	2018
title	Deep Reinforcement Learning: An Overview
source	Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, pp. 426-440
last changed	2021/06/02 21:45

_id	caadria2018_049c
in paper	Xu, Tongda, Wang, Dinglu, Yang, Mingyan, You, Xiaohui and Huang, Weixin (2018) An Evolving Built Environment Prototype - A Prototype of Adaptive Built Environment Interacting with Electroencephalogram Supported by Reinforcement Learning
authors	Sutton, R.S. and Barto, A.G.
year	2016
title	Reinforcement Learning: An Introduction
source	The MIT Press, Cambridge, Massachusetts
last changed	2018/05/29 13:38

_id	ecaade2020_093z
in paper	Veloso, Pedro and Krishnamurti, Ramesh (2020) An Academy of Spatial Agents - Generating spatial configurations with deep reinforcement learning
authors	van Hassel, H, Guez, A and Silver, D
year	2016
title	Deep Reinforcement Learning with Double Q-learning
source	Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, pp. 2094-2100
last changed	2020/09/09 15:42

_id	caadria2024_71a3
in paper	Zhang, Yi, Peng, Ziyu and Lu, Weisheng (2024) Participatory Space Auto-Encapsulation: Bridging Human Relationships to Building Typology with Machine Intelligence
authors	Gupta, J. K., Egorov, M., & Kochenderfer, M.
year	2017
title	Cooperative Multi-agent Control Using Deep Reinforcement Learning
source	G. Sukthankar & J. A. Rodriguez-Aguilar (Eds.), Autonomous Agents and Multiagent Systems (pp. 66-83). Springer International Publishing
last changed	2024/06/05 13:41

_id	caadria2018_314v
in paper	Kim, Jin Sung, Song, Jae Yeol and Lee, Jin Kook (2018) Approach to the Extraction of Design Features of Interior Design Elements Using Image Recognition Technique
authors	Abadi, M, Agarwal, A, Barham, P, Brevdo, E, Chen, Z, Citro, C, Corrado, GS, Davis, A, Dean, J, Devin, M and Ghemawat, S
year	2016
title	Tensorflow: Large-scale machine learning on heterogeneous distributed systems
source	OSDI, 16, pp. 265-283
last changed	2018/05/29 13:41

_id	caadria2019_109bb
in paper	Kim, Jinsung, Song, Jaeyeol and Lee, Jin-Kook (2019) Approach to Auto-recognition of Design Elements for the Intelligent Management of Interior Pictures
authors	Abadi, M, Agarwal, A, Barham, P, Brevdo, E, Chen, Z, Citro, C, Corrado, GS, Davis, A, Dean, J, Devin, M and Ghemawat, S
year	2016
title	Tensorflow: Large-scale machine learning on heterogeneous distributed systems
source	OSDI, pp. 265-238
last changed	2019/04/16 12:26

_id	sigradi2022_253ll
in paper	Sanatani, Rohit Priyadarshi; Nagakura, Takehiko; Tsai, Daniel (2022) The Tourist’s Image of the City: A comparative analysis of visual features and textual themes of interest across three metropolises
authors	Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., & others.
year	2016
title	TensorFlow: A system for Large-Scale machine learning
source	12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16), 265-283
last changed	2023/05/17 08:13

_id	acadia18_196qq
in paper	Zhang, Yan; Grignard; Aubuchon, Alexander; Lyons, Keven; Larson, Kent (2018) Machine Learning for Real-time Urban Metrics and Design Recommendations
authors	Abadi, Martín, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al.
year	2016
title	Tensorflow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
source	arXiv preprint arXiv:1603.04467
last changed	2019/01/25 08:41

_id	acadia17_480j
in paper	()
authors	Abadi, Martín, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado et al.
year	2016
title	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
source	arXiv preprint arXiv:1603.04467
last changed	2017/11/21 10:02

_id	acadia17_474j
in paper	Peng, Wenzhe; Zhang, Fan; Nagakura, Takehiko (2017) Machines’ Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification
authors	Abadi, Martín, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado et al.
year	2016
title	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
source	arXiv preprint arXiv:1603.04467
last changed	2017/12/01 12:12

_id	ecaade2017_009t
in paper	Takizawa, Atsushi and Furuta, Airi (2017) 3D Spatial Analysis Method with First-Person Viewpoint by Deep Convolutional Neural Network with Omnidirectional RGB and Depth Images
authors	Abe, H, et al.
year	2016
title	Possibility of applying deep learning to the evaluation of street scape
source	Proceeding of the annual symposium of Japan Society of Graphic Science, pp. 85-90
last changed	2017/09/26 14:04

_id	caadria2024_524tt
in paper	Castelo-Branco, Renata, Caetano, Ines and Leitao, António (2024) Algorithmic design explained: Decomposing parametric 3D problems into 2D visual illustrations
authors	Allamanis, M., Peng, H., & Sutton, C.
year	2016
title	A convolutional attention network for extreme summarization of source code
source	Proceedings of the 33rd International Conference on Machine Learning, 48, 2091-2100. https://proceedings.mlr.press/v48/allamanis16.html
last changed	2024/06/05 13:49

_id	ecaadesigradi2019_308uu
in paper	Yetkin, Ozan and Gönenç Sorguç, Arzu (2019) Design Space Exploration of Initial Structural Design Alternatives via Artificial Neural Networks
authors	Alpaydin, E.
year	2016
title	Machine Learning: The New AI
source	MIT Press
last changed	2019/08/26 22:40

_id	sigradi2022_297s2
in paper	Roco, Miguel (2022) ePortfolio as a Techno-pedagogical Strategy for Networked Learning in the Architectural Design Studio
authors	Anderson, T.
year	2016
title	Theories for Learning with Emerging Technologies
source	G. Valetsianos (Ed.), Emergence and Innovation in Digital Learning: Foundations and Applications. Athabasca University Press
last changed	2023/05/17 08:17

_id	sigradi2022_92pp
in paper	Vaez Afshar, Sepehr; Aytaç, Gülºen; Eshaghi, Sarvin; Vaez Afshar, Sana (2022) Online Footprint - A serious game for reducing digital carbon emission
authors	Archana, U. V., Rajeshwaran, A., McLain, M. L., Bijlani, K., Rao, B., & Jayakrishnan, R.
year	2016
title	Game Based Learning to Reduce Carbon Footprint
source	Emerging Research in Computing, Information, Communication, and Applications (pp. 89-98). Springer, New Delhi
last changed	2023/05/17 08:20

_id	ascaad2021_028m
in paper	Fahmy, Marwa (2021) Applying Urban Parametricism in the Design of Dynamic Neighborhoods
authors	Aschwanden, G., D.P.A.
year	2016
title	Sneighbourhood detection with analytical tools, Identifying neighbourhoods from geospatial and transportation data though graph evaluation and learning algorithms
source	21st International Conference of the Association for Computer-Aided Architectural Design Research in Asia CAADRIA, 13–22 10
last changed	2021/07/16 10:08

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