Difference between revisions of "Laurent Sifre"
GerdIsenberg (talk | contribs) |
GerdIsenberg (talk | contribs) |
||
| Line 25: | Line 25: | ||
=References= | =References= | ||
<references /> | <references /> | ||
| − | |||
'''[[People|Up one level]]''' | '''[[People|Up one level]]''' | ||
| + | [[Category:Researcher|Sifre]] | ||
Revision as of 22:05, 23 November 2019
Laurent Sifre [1]
Laurent Sifre,
a French mathematician, computer scientist, and senior research scientist at Google DeepMind, involved in the AlphaGo and AlphaZero projects mastering the games of Go, chess and Shogi. He holds a Ph.D. in applied mathematics from École Polytechnique under Stéphane Mallat [2], where his research focused on the design of invariant image representations based on the scattering transforms. Applications include texture, and image classification [3].
Selected Publications
2014
- Laurent Sifre, Stéphane Mallat (2014). Rigid-Motion Scattering for Texture Classification. arXiv:1403.1687
- Laurent Sifre (2014). Rigid-Motion Scattering for Image Classification. Ph.D. thesis, École Polytechnique, supervisor Stéphane Mallat, pdf
2015 ...
- 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 »
- David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, Demis Hassabis (2017). Mastering the game of Go without human knowledge. Nature, Vol. 550
- David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy Lillicrap, Karen Simonyan, Demis Hassabis (2017). Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. arXiv:1712.01815 [5]
- David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy Lillicrap, Karen Simonyan, Demis Hassabis (2018). A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play. Science, Vol. 362, No. 6419 [6]
- Julian Schrittwieser, Ioannis Antonoglou, Thomas Hubert, Karen Simonyan, Laurent Sifre, Simon Schmitt, Arthur Guez, Edward Lockhart, Demis Hassabis, Thore Graepel, Timothy Lillicrap, David Silver (2019). Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. arXiv:1911.08265
External Links
References
- ↑ Laurent Sifre
- ↑ Laurent Sifre (2014). Rigid-Motion Scattering for Image Classification. Ph.D. thesis, École Polytechnique, supervisor Stéphane Mallat, pdf
- ↑ Laurent Sifre
- ↑ Publications | DeepMind
- ↑ Alpha Zero by BB+, OpenChess Forum, December 06, 2017
- ↑ AlphaZero: Shedding new light on the grand games of chess, shogi and Go by David Silver, Thomas Hubert, Julian Schrittwieser and Demis Hassabis, DeepMind, December 03, 2018
