Dharshan Kumaran
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Dharshan Kumaran, (born 1975)
a British chess grandmaster, neuroscientist, and senior research scientist at Google DeepMind, involved in the AlphaZero project mastering the games of Go, chess and Shogi. He holds a Ph.D. on the fundamental mechanisms operating within the human hippocampus from the University College London (UCL) under supervision of Eleanor Maguire, and he is still affiliated with UCL as honorary research associate at their Institute of Cognitive Neuroscience.
Dharshan Kumaran's chess career started early, he became Under-12 World Youth Champion 1986 in San Juan, and Under-16 World Youth Champion 1991 in Guarapuava [2] and British Under-21 and Commonwealth U-21 Champion in 1993 [3]. He became international master in 1993, and grandmaster in 1997 [4]. With a rating of 2505, he is no longer active in official FIDE tournaments since 1998 [5], focusing on his academic career.
Selected Publications
2005 ...
- Dharshan Kumaran, Eleanor A. Maguire (2005). The Human Hippocampus: Cognitive Maps or Relational Memory? Journal of Neuroscience, Vol. 25, No. 31
- Dharshan Kumaran, Eleanor A. Maguire (2007). Which computational mechanisms operate in the hippocampus during novelty detection? Hippocampus, Vol. 17, No. 9, DOI: 10.1002/hipo.20326
- Dharshan Kumaran (2008). What are the Fundamental Mechanisms Operating within the Human Hippocampus. Ph.D. thesis, University College London, supervisor: Eleanor A. Maguire
- Dharshan Kumaran (2008). Short-Term Memory and The Human Hippocampus. Journal of Neuroscience, Vol. 28, No. 15
2010 ...
- Dharshan Kumaran, James L. McClelland (2010). Generalization through Recurrence: An Interactive Model of the Hippocampus. Society for Neuroscience
- Dharshan Kumaran, James L. McClelland (2012). Generalization through the Recurrent Interaction of Episodic Memories: A Model of the Hippocampal System. Psychological Review, Vol. 119, No, 3
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
2016
- Jane X Wang, Zeb Kurth-Nelson, Dhruva Tirumala, Hubert Soyer, Joel Z Leibo, Rémi Munos, Charles Blundell, Dharshan Kumaran, Matthew Botvinick (2016). Learning to reinforcement learn. arXiv:1611.05763
- James Kirkpatrick, Razvan Pascanu, Neil C. Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A. Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, Demis Hassabis, Claudia Clopath, Dharshan Kumaran, Raia Hadsell (2016). Overcoming catastrophic forgetting in neural networks. arXiv:1612.00796
- Dharshan Kumaran, Demis Hassabis, James L. McClelland (2016). What learning systems do intelligent agents need? Complementary Learning Systems Theory Updated. Trends in Cognitive Sciences, Vol. 20, No. 7, pdf
2017
- 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 » AlphaZero
2018
- 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 [8]
External Links
References
- ↑ dharshan kumaran
- ↑ Bidmonfa - Dharshan Kumaran
- ↑ Chess - dharshan kumaran
- ↑ Kumaran, Dharshan FIDE Chess Profile
- ↑ Dharshan Kumaran – Wikipedia.pl (Polish)
- ↑ Publications - dharshan kumaran
- ↑ dblp: Dharshan Kumaran
- ↑ 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