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Dharshan Kumaran
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* Dharshan Kumaran
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
[1]
and British Under-21 and Commonwealth U-21 Champion in 1993
[2]
. He became
international master
in 1993, and grandmaster in 1997
[3]
. With a rating of 2505, he is no longer active in official
FIDE
tournaments since 1998
[4]
, focusing on his academic career.
Dharshan Kumaran
[5]
Table of Contents
Selected Publications
2005 ...
2010 ...
2015 ...
External Links
References
What links here?
Selected Publications
[6]
[7]
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
,
Matt 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
External Links
dharshan kumaran
Kumaran, Dharshan FIDE Chess Profile
Dharshan Kumaran – Wikipedia.pl
(Polish)
The chess games of Dharshan Kumaran
from
Chessgames.com
References
^
Bidmonfa - Dharshan Kumaran
^
Chess - dharshan kumaran
^
Kumaran, Dharshan FIDE Chess Profile
^
Dharshan Kumaran – Wikipedia.pl
(Polish)
^
dharshan kumaran
^
Publications - dharshan kumaran
^
dblp: Dharshan Kumaran
What links here?
Page
Date Edited
AlphaZero
Feb 10, 2018
Andrei A. Rusu
Dec 8, 2017
Arthur Guez
Dec 6, 2017
Chess
Jan 21, 2018
Cognition
Dec 8, 2017
David Silver
Feb 11, 2018
Deep Learning
Feb 12, 2018
DeepMind
Dec 9, 2017
Demis Hassabis
Dec 8, 2017
Dharshan Kumaran
Dec 9, 2017
Go
Jan 24, 2018
Ioannis Antonoglou
Dec 6, 2017
Joel Veness
Dec 8, 2017
Julian Schrittwieser
Dec 7, 2017
Karen Simonyan
Dec 10, 2017
Koray Kavukcuoglu
Dec 10, 2017
Laurent Sifre
Dec 7, 2017
LCZero
Apr 18, 2018
Learning
Feb 20, 2018
Marc Lanctot
Jan 10, 2018
Martin Riedmiller
Nov 29, 2016
Matthew Lai
Dec 6, 2017
Memory
Dec 8, 2017
Monte-Carlo Tree Search
Apr 26, 2018
Neural Networks
Mar 12, 2018
People
Feb 28, 2018
Reinforcement Learning
Feb 12, 2018
Rémi Munos
Dec 8, 2017
Shogi
Feb 19, 2018
Thomas Hubert
Dec 7, 2017
Thore Graepel
Jan 10, 2018
Timothy Lillicrap
Dec 9, 2017
Volodymyr Mnih
Dec 8, 2017
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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 [1] and British Under-21 and Commonwealth U-21 Champion in 1993 [2]. He became international master in 1993, and grandmaster in 1997 [3]. With a rating of 2505, he is no longer active in official FIDE tournaments since 1998 [4], focusing on his academic career.
Table of Contents
Selected Publications
[6] [7]2005 ...
2010 ...
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, Matt 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
2017External Links
References
What links here?
Up one level