Difference between revisions of "Koray Kavukcuoglu"
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* [[David Silver]], [[Shih-Chieh Huang|Aja Huang]], [[Chris J. Maddison]], [[Arthur Guez]], [[Laurent Sifre]], [[George van den Driessche]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Veda Panneershelvam]], [[Marc Lanctot]], [[Sander Dieleman]], [[Dominik Grewe]], [[John Nham]], [[Nal Kalchbrenner]], [[Ilya Sutskever]], [[Timothy Lillicrap]], [[Madeleine Leach]], [[Koray Kavukcuoglu]], [[Thore Graepel]], [[Demis Hassabis]] ('''2016'''). ''[http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html Mastering the game of Go with deep neural networks and tree search]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 529 | * [[David Silver]], [[Shih-Chieh Huang|Aja Huang]], [[Chris J. Maddison]], [[Arthur Guez]], [[Laurent Sifre]], [[George van den Driessche]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Veda Panneershelvam]], [[Marc Lanctot]], [[Sander Dieleman]], [[Dominik Grewe]], [[John Nham]], [[Nal Kalchbrenner]], [[Ilya Sutskever]], [[Timothy Lillicrap]], [[Madeleine Leach]], [[Koray Kavukcuoglu]], [[Thore Graepel]], [[Demis Hassabis]] ('''2016'''). ''[http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html Mastering the game of Go with deep neural networks and tree search]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 529 | ||
* [[Volodymyr Mnih]], [[Adrià Puigdomènech Badia]], [[Mehdi Mirza]], [[Alex Graves]], [[Timothy Lillicrap]], [[Tim Harley]], [[David Silver]], [[Koray Kavukcuoglu]] ('''2016'''). ''Asynchronous Methods for Deep Reinforcement Learning''. [https://arxiv.org/abs/1602.01783 arXiv:1602.01783v2] | * [[Volodymyr Mnih]], [[Adrià Puigdomènech Badia]], [[Mehdi Mirza]], [[Alex Graves]], [[Timothy Lillicrap]], [[Tim Harley]], [[David Silver]], [[Koray Kavukcuoglu]] ('''2016'''). ''Asynchronous Methods for Deep Reinforcement Learning''. [https://arxiv.org/abs/1602.01783 arXiv:1602.01783v2] | ||
| − | * [[Mathematician#AARusu|Andrei A. Rusu]], [[Neil C. Rabinowitz]], [[Guillaume Desjardins]], [[Hubert Soyer]], [[James Kirkpatrick]], [[Koray Kavukcuoglu]], [[Mathematician#RPascanu|Razvan Pascanu]], [[Raia Hadsell]] ('''2016'''). ''Progressive Neural Networks''. [https://arxiv.org/abs/1606.04671 arXiv:1606.04671] | + | * [[Mathematician#AARusu|Andrei A. Rusu]], [[Neil C. Rabinowitz]], [[Guillaume Desjardins]], [[Hubert Soyer]], [[James Kirkpatrick]], [[Koray Kavukcuoglu]], [[Mathematician#RPascanu|Razvan Pascanu]], [[Mathematician#RHadsell|Raia Hadsell]] ('''2016'''). ''Progressive Neural Networks''. [https://arxiv.org/abs/1606.04671 arXiv:1606.04671] |
* [https://scholar.google.co.uk/citations?user=TqUN-LwAAAAJ Aäron van den Oord], [http://benanne.github.io/about/ Sander Dieleman], [https://research.google.com/pubs/HeigaZen.html Heiga Zen], [[Karen Simonyan]], [https://research.google.com/pubs/OriolVinyals.html Oriol Vinyals], [[Alex Graves]], [https://www.nal.ai/ Nal Kalchbrenner], [https://research.google.com/pubs/author37792.html Andrew Senior], [[Koray Kavukcuoglu]] ('''2016'''). ''WaveNet: A Generative Model for Raw Audio''. [https://arxiv.org/abs/1609.03499 arXiv:1609.03499] <ref>[https://en.wikipedia.org/wiki/WaveNet WaveNet from Wikipedia]</ref> | * [https://scholar.google.co.uk/citations?user=TqUN-LwAAAAJ Aäron van den Oord], [http://benanne.github.io/about/ Sander Dieleman], [https://research.google.com/pubs/HeigaZen.html Heiga Zen], [[Karen Simonyan]], [https://research.google.com/pubs/OriolVinyals.html Oriol Vinyals], [[Alex Graves]], [https://www.nal.ai/ Nal Kalchbrenner], [https://research.google.com/pubs/author37792.html Andrew Senior], [[Koray Kavukcuoglu]] ('''2016'''). ''WaveNet: A Generative Model for Raw Audio''. [https://arxiv.org/abs/1609.03499 arXiv:1609.03499] <ref>[https://en.wikipedia.org/wiki/WaveNet WaveNet from Wikipedia]</ref> | ||
* [[Max Jaderberg]], [[Volodymyr Mnih]], [[Wojciech Marian Czarnecki]], [[Tom Schaul]], [[Joel Z. Leibo]], [[David Silver]], [[Koray Kavukcuoglu]] ('''2016'''). ''Reinforcement Learning with Unsupervised Auxiliary Tasks''. [https://arxiv.org/abs/1611.05397v1 arXiv:1611.05397v1] | * [[Max Jaderberg]], [[Volodymyr Mnih]], [[Wojciech Marian Czarnecki]], [[Tom Schaul]], [[Joel Z. Leibo]], [[David Silver]], [[Koray Kavukcuoglu]] ('''2016'''). ''Reinforcement Learning with Unsupervised Auxiliary Tasks''. [https://arxiv.org/abs/1611.05397v1 arXiv:1611.05397v1] | ||
Latest revision as of 17:09, 4 July 2020
Home * People * Koray Kavukcuoglu
Koray Kavukcuoglu [1]
Koray Kavukcuoglu',
a Turkish aerospace engineer, computer scientist, and researcher at Google DeepMind, involved in the WaveNet speech synthesis system, and the AlphaGo project. He holds degrees in Aerospace engineering from Middle East Technical University, Ankara, and M.Sc. and Ph.D. in computer science from New York University in 2005 and 2010 respectively. His research interests focus on machine learning including neural networks and deep learning. Along with Ronan Collobert and Clément Farabet, he is developer of the version of the machine learning library Torch5 [2] [3] and also contributed to subsequent versions [4].
Selected Publications
2012 ...
- Ronan Collobert, Koray Kavukcuoglu, Clément Farabet (2012). Implementing Neural Networks Efficiently. Neural Networks: Tricks of the Trade (2nd ed.) Springer [6]
- Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, Martin Riedmiller (2013). Playing Atari with Deep Reinforcement Learning. arXiv:1312.5602 [7] [8]
2015 ...
- Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Andrei A. Rusu, Joel Veness, Marc G. Bellemare, Alex Graves, Martin Riedmiller, Andreas K. Fidjeland, Georg Ostrovski, Stig Petersen, Charles Beattie, Amir Sadik, Ioannis Antonoglou, Helen King, Dharshan Kumaran, Daan Wierstra, Shane Legg, Demis Hassabis (2015). Human-level control through deep reinforcement learning. Nature, Vol. 518
- Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, Koray Kavukcuoglu (2015). Natural Neural Networks. arXiv:1507.00210
- Arun Nair, Praveen Srinivasan, Sam Blackwell, Cagdas Alcicek, Rory Fearon, Alessandro De Maria, Veda Panneershelvam, Mustafa Suleyman, Charles Beattie, Stig Petersen, Shane Legg, Volodymyr Mnih, Koray Kavukcuoglu, David Silver (2015). Massively Parallel Methods for Deep Reinforcement Learning. arXiv:1507.04296
2016
- David Silver, Aja Huang, Chris J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, Demis Hassabis (2016). Mastering the game of Go with deep neural networks and tree search. Nature, Vol. 529
- Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, Koray Kavukcuoglu (2016). Asynchronous Methods for Deep Reinforcement Learning. arXiv:1602.01783v2
- Andrei A. Rusu, Neil C. Rabinowitz, Guillaume Desjardins, Hubert Soyer, James Kirkpatrick, Koray Kavukcuoglu, Razvan Pascanu, Raia Hadsell (2016). Progressive Neural Networks. arXiv:1606.04671
- Aäron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, Koray Kavukcuoglu (2016). WaveNet: A Generative Model for Raw Audio. arXiv:1609.03499 [9]
- Max Jaderberg, Volodymyr Mnih, Wojciech Marian Czarnecki, Tom Schaul, Joel Z. Leibo, David Silver, Koray Kavukcuoglu (2016). Reinforcement Learning with Unsupervised Auxiliary Tasks. arXiv:1611.05397v1
External Links
- Koray Kavukcuoglu - koray kavukcuoglu
- Koray Kavukcuoglu | LinkedIn
- koray kavukcuoglu - Google Scholar Citations
- koraykv (koray kavukcuoglu) · GitHub
- Deep Minds: An Interview with Google's Alex Graves & Koray Kavukcuoglu by Sophie Curtis, RE•WORK, October 27, 2015
- Patent US20150100530 - Methods and apparatus for reinforcement learning - Google Patents
References
- ↑ Koray Kavukcuoglu | LinkedIn
- ↑ Torch 5
- ↑ Koray Kavukcuoglu - koray kavukcuoglu
- ↑ Code - koray kavukcuoglu
- ↑ dblp: Koray Kavukcuoglu
- ↑ Clément Farabet | Code
- ↑ Demystifying Deep Reinforcement Learning by Tambet Matiisen, Nervana, December 21, 2015
- ↑ Patent US20150100530 - Methods and apparatus for reinforcement learning - Google Patents
- ↑ WaveNet from Wikipedia
