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Publications with keyword "Deep learning"

1. Y. Pan, H. Yao, A. Farahmand, M. White. "Hill Climbing on Value Estimates for Search-control in Dyna". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Sarit Kraus), pp 3209-3215, August 2019. view
2. J. Tomczak, S. ZarÄ™ba, S. Ravanbakhsh, R. Greiner. "Low-dimensional Perturb-and-MAP approach for learning Restricted Boltzmann Machines". Neural Processing Letters, 50(2), pp 1401-1419, October 2018. PDFview
3. C. Gao, S. Yan, R. Hayward, M. Müller. "A Transferable Neural Network for Hex". Journal of the International Computer Games Association (ICGA), 40(3), pp 224-233, June 2018. view
4. C. Gao, M. Müller, R. Hayward. "Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex". International Joint Conference on Artificial Intelligence (IJCAI), (ed: Carles Sierra), pp 3668-3674, August 2017. PDFview
5. J. Günther, P. Pilarski, H. Shen, K. Diepold. "Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning". Mechatronics, 34, March 2016. view
6. L. Mou, G. Li, L. Zhang, T. Wang, Z. Jin. "Convolutional Neural Networks over Tree Structures for Programming Language Processing". National Conference on Artificial Intelligence (AAAI), pp 1287-1293, February 2016. PDFview
7. J. Gunther, P. Pilarski, G. Helfrich, H. Shen, K. Diepold. "First Steps Towards an Intelligent Laser Welding Architecture Using Deep Neural Networks and Reinforcement Learning". Procedia Technology, 15, pp 474-483, January 2014. PDFview
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