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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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100%; open Hadfield-Menell D, Russell SJ, Abbeel P, et al. (2016) Find in CUMINCAD Cooperative inverse reinforcement learning , Advances neural information processing systems, Barcelona, Spain, 5–10 December 2016. pp. 3909–3917
60%; open Bello, I, Pham, H, Le, QV, Norouzi, M and Bengio, S (2016) Find in CUMINCAD Neural combinatorial optimization with reinforcement learning , arXiv preprint arXiv:1611.09940, 1611, pp. 1-15
60%; open Kulkarni, Tejas D, Karthik Narasimhan, Ardavan Saeedi, and Josh Tenenbaum. (2016) Find in CUMINCAD Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation , Advances Neural Information Processing Systems, 3675–83
60%; open Mao, Hongzi, Mohammad Alizadeh, Ishai Menache, and Srikanth Kandula. (2016) Find in CUMINCAD Resource Management with Deep Reinforcement Learning , Proceedings of the 15th ACM Workshop on Hot Topics Networks, 50–56
60%; open Mousavi, S, Schukat, M and Howley, E (2018) Find in CUMINCAD Deep Reinforcement Learning: An Overview , Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016, pp. 426-440
60%; open Sutton, R.S. and Barto, A.G. (2016) Find in CUMINCAD Reinforcement Learning: An Introduction , The MIT Press, Cambridge, Massachusetts
60%; open van Hassel, H, Guez, A and Silver, D (2016) Find in CUMINCAD Deep Reinforcement Learning with Double Q-learning , Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, Phoenix, pp. 2094-2100
60%; open Gupta, J. K., Egorov, M., & Kochenderfer, M. (2017) Find in CUMINCAD Cooperative Multi-agent Control Using Deep Reinforcement Learning , G. Sukthankar & J. A. Rodriguez-Aguilar (Eds.), Autonomous Agents and Multiagent Systems (pp. 66-83). Springer International Publishing
40%; open Abadi, M, Agarwal, A, Barham, P, Brevdo, E, Chen, Z, Citro, C, Corrado, GS, Davis, A, Dean, J, Devin, M and Ghemawat, S (2016) Find in CUMINCAD Tensorflow: Large-scale machine learning on heterogeneous distributed systems , OSDI, 16, pp. 265-283
40%; open Abadi, M, Agarwal, A, Barham, P, Brevdo, E, Chen, Z, Citro, C, Corrado, GS, Davis, A, Dean, J, Devin, M and Ghemawat, S (2016) Find in CUMINCAD Tensorflow: Large-scale machine learning on heterogeneous distributed systems , OSDI, pp. 265-238
40%; open Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., & others. (2016) Find in CUMINCAD TensorFlow: A system for Large-Scale machine learning , 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16), 265-283
40%; open Abadi, Martín, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. (2016) Find in CUMINCAD Tensorflow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , arXiv preprint arXiv:1603.04467
40%; open Abadi, Martín, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado et al. (2016) Find in CUMINCAD TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , arXiv preprint arXiv:1603.04467
40%; open Abadi, Martín, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado et al. (2016) Find in CUMINCAD TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , arXiv preprint arXiv:1603.04467
40%; open Abe, H, et al. (2016) Find in CUMINCAD Possibility of applying deep learning to the evaluation of street scape , Proceeding of the annual symposium of Japan Society of Graphic Science, pp. 85-90
40%; open Allamanis, M., Peng, H., & Sutton, C. (2016) Find in CUMINCAD A convolutional attention network for extreme summarization of source code , Proceedings of the 33rd International Conference on Machine Learning, 48, 2091-2100. https://proceedings.mlr.press/v48/allamanis16.html
40%; open Alpaydin, E. (2016) Find in CUMINCAD Machine Learning: The New AI , MIT Press
40%; open Anderson, T. (2016) Find in CUMINCAD Theories for Learning with Emerging Technologies , G. Valetsianos (Ed.), Emergence and Innovation in Digital Learning: Foundations and Applications. Athabasca University Press
40%; open Archana, U. V., Rajeshwaran, A., McLain, M. L., Bijlani, K., Rao, B., & Jayakrishnan, R. (2016) Find in CUMINCAD Game Based Learning to Reduce Carbon Footprint , Emerging Research in Computing, Information, Communication, and Applications (pp. 89-98). Springer, New Delhi
40%; open Aschwanden, G., D.P.A. (2016) Find in CUMINCAD Sneighbourhood detection with analytical tools, Identifying neighbourhoods from geospatial and transportation data though graph evaluation and learning algorithms , 21st International Conference of the Association for Computer-Aided Architectural Design Research in Asia CAADRIA, 13–22 10

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