David Silver
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David Silver is a person who is a computer scientist and AI researcher at DeepMind.
- Example(s):
- Counter-Example(s):
- See: DeepMind, AI Research, Computer Science, Neural Turing Machine, RNNs, Deep Reinforcement Learning, AlphaFold, AlphaStar (Software), AlphaGo, AlphaZero.
References
2023
- (Wikipedia, 2023) ⇒ https://en.wikipedia.org/wiki/David_Silver_(computer_scientist) Retrieved:2023-6-7.
- David Silver (born 1976) is a principal research scientist at DeepMind and a professor at University College London. He has led research on reinforcement learning with AlphaGo, AlphaZero and co-lead on AlphaStar.[1] [2]
- ↑ David Silver publications indexed by Google Scholar Edit this at Wikidata
- ↑ Oriol Vinyals; Igor Babuschkin; Wojciech M Czarnecki; et al. (30 October 2019). "Grandmaster level in StarCraft II using multi-agent reinforcement learning". Nature. 575 (7782): 350–354.
2023
- (Mankowitz et al., 2023) ⇒ Daniel J. Mankowitz, Andrea Michi, Anton Zhernov, Marco Gelmi, Marco Selvi, Cosmin Paduraru, Edouard Leurent, Shariq Iqbal, Jean-Baptiste Lespiau, Alex Ahern, Thomas Köppe, Kevin Millikin, Stephen Gaffney, Sophie Elster, Jackson Broshear, Chris Gamble, Kieran Milan, Robert Tung, Minjae Hwang, Taylan Cemgil, Mohammadamin Barekatain, Yujia Li, Amol Mandhane, Thomas Hubert, Julian Schrittwieser, Demis Hassabis, Pushmeet Kohli, Martin Riedmiller, Oriol Vinyals, and David Silver. (2023). “Faster Sorting Algorithms Discovered Using Deep Reinforcement Learning.” In: Nature, 618(7964).
2021
- (Jumper et al., 2021) ⇒ John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko, Alex Bridgland, Clemens Meyer, Simon A. A. Kohl, Andrew J. Ballard, Andrew Cowie, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Jonas Adler, Trevor Back, Stig Petersen, David Reiman, Ellen Clancy, Michal Zielinski, Martin Steinegger, Michalina Pacholska, Tamas Berghammer, Sebastian Bodenstein, David Silver, Oriol Vinyals, Andrew W. Senior, Koray Kavukcuoglu, Pushmeet Kohli, and Demis Hassabis. (2021). “Highly Accurate Protein Structure Prediction with AlphaFold.” In: Nature, 596(7873)
2017
- (Silver, Schrittwieser et al., 2017) ⇒ 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, and Demis Hassabis. (2017). “Mastering the Game of Go Without Human Knowledge.” In: Nature, 550(7676).
- (Silver, Hubert et al., 2017) ⇒ David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot et al. (2017). “Mastering Chess and Shogi by Self-play with a General Reinforcement Learning Algorithm.” arXiv preprint arXiv:1712.01815
2016
- (Silver et al., 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, and Demis Hassabis. (2016). “Mastering the Game of Go with Deep Neural Networks and Tree Search.” In: Nature, 529(7587). doi:10.1038/nature16961
- (Mnih et al., 2016) ⇒ Volodymyr Mnih, Adrià Puigdomènech Badia, Mehdi Mirza, Alex Graves, Tim Harley, Timothy P. Lillicrap, David Silver, and Koray Kavukcuoglu. (2016). “Asynchronous Methods for Deep Reinforcement Learning.” In: Proceedings of the 33rd International Conference on International Conference on Machine Learning - Volume 48.
- (Heinrich & Silver, 2016) ⇒ Johannes Heinrich, and David Silver. (2016). “Deep Reinforcement Learning from Self-play in Imperfect-information Games.” In: Proceedings of NIPS Deep Reinforcement Learning Workshop.
2015
- (Mnih et al., 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, and Demis Hassabis. (2015). “Human-level Control through Deep Reinforcement Learning.” In: Nature, 518(7540).
2014
- (Heinrich & Silver, 2014) ⇒ Johannes Heinrich, and David Silver. (2014). “Self-play Monte-carlo Tree Search in Computer Poker.” In: Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence.
2013
- (Mnih et al., 2013) ⇒ Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller. (2013). “Playing Atari with Deep Reinforcement Learning.” arXiv preprint arXiv:1312.5602
2012
- (Gelly et al., 2012) ⇒ Sylvain Gelly, Levente Kocsis, Marc Schoenauer, Michèle Sebag, David Silver, Csaba Szepesvári, and Olivier Teytaud. (2012). “The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions.” In: Communications of the ACM Journal, 55(3). doi:10.1145/2093548.2093574
2009
- (Ratliff et al., 2009) ⇒ Nathan D. Ratliff, David Silver, and J. Andrew Bagnell. (2009). “Learning to Search: Functional gradient techniques for imitation learning." Autonomous Robots, 27(1).
2007
- (Gelly & Silver, 2007) ⇒ Sylvain Gelly, and David Silver. (2007). “Combining Online and Offline Knowledge in UCT.” In: Proceedings of the 24th International Conference on Machine learning (ICML-2007)