Skip to main content
guest
Join
|
Help
|
Sign In
chessprogramming
Home
guest
|
Join
|
Help
|
Sign In
Wiki Home
Recent Changes
Pages and Files
Members
Home
Basics
Getting Started
Board Representation
Search
Evaluation
Principle Topics
Chess
Programming
Artificial Intelligence
Knowledge
Learning
Testing
Tuning
User Interface
Protocols
Dictionary
Lists
Arts
Cartoons
CC Forums
Conferences
Dedicated CC
Engines
Games
Hardware
History
Organizations
Papers
People
Periodical
Samples
Software
Timeline
Tournaments and Matches
Videos
Misc
Acknowledgments
On New Pages
Recommended Reading
Wikispaces Help
Andrei A. Rusu
Edit
0
2
…
0
Tags
No tags
Notify
RSS
Backlinks
Source
Print
Export (PDF)
Home
*
People
* Andrei A. Rusu
Andrei A. Rusu
,
a Romanian computer scientist at
Google
DeepMind
. He holds a M.Sc. degree from
University College London
in 2011 on the topic of
functional magnetic resonance imaging (fMRI)
used for various feats of “
mind reading
” by means of
multi-voxel pattern analysis
[1]
. His research interests include
artificial intelligence
,
reinforcement learning
,
neural networks
and
deep learning
, where he worked on
deep Q-networks
(DQN), that can learn successful policies directly from high-dimensional sensory inputs using end-to-end reinforcement learning
[2]
. DQNs were tested in the domain of classic
Atari games
such as
Pong
,
Space Invaders
,
Breakout
and
Seaquest
, receiving only the pixels and the game score as inputs, to surpass the performance of all previous algorithms and achieve a level comparable to that of a professional human games tester across a set of 49 games, using the same algorithm, network architecture and hyperparameters
[3]
.
Andrei A. Rusu
[4]
Table of Contents
Selected Publications
2010 ...
2015 ...
External Links
References
What links here?
Selected Publications
[5]
2010 ...
Liviu Petrisor Dinu
,
Andrei A. Rusu
(
2010
).
Rank Distance Aggregation as a Fixed Classifier Combining Rule for Text Categorization
.
CICLing 2010
Andrei A. Rusu
(
2011
).
Decoding Neural Representations of People and Personality Traits Using fMRI Multi-Voxel Pattern Analysis
. Master thesis,
UCL
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
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
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
External Links
Andrei A. Rusu | Homepage and Blog: Thoughts on Artificial Intelligence, the Brain, Mind and Science
Andrei A. Rusu - Google Scholar Citations
andreirusu (Andrei A. Rusu) · GitHub
References
^
Andrei A. Rusu
(
2011
).
Decoding Neural Representations of People and Personality Traits Using fMRI Multi-Voxel Pattern Analysis
. Master thesis,
UCL
^
We’ll Never Win! Google’s AI Plays Atari - Propecta
by
Nate Dame
, March 19, 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
^
Andrei A. Rusu - Google Scholar Citations
^
DBLP: Andrei A. Rusu
What links here?
Page
Date Edited
Andrei A. Rusu
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
Ioannis Antonoglou
Dec 6, 2017
Joel Veness
Dec 8, 2017
Koray Kavukcuoglu
Dec 10, 2017
Learning
Feb 20, 2018
Martin Riedmiller
Nov 29, 2016
Neural Networks
Mar 12, 2018
People
Feb 28, 2018
Reinforcement Learning
Feb 12, 2018
Volodymyr Mnih
Dec 8, 2017
Up one level
Javascript Required
You need to enable Javascript in your browser to edit pages.
help on how to format text
Turn off "Getting Started"
Home
...
Loading...
a Romanian computer scientist at Google DeepMind. He holds a M.Sc. degree from University College London in 2011 on the topic of functional magnetic resonance imaging (fMRI) used for various feats of “mind reading” by means of multi-voxel pattern analysis [1]. His research interests include artificial intelligence, reinforcement learning, neural networks and deep learning, where he worked on deep Q-networks (DQN), that can learn successful policies directly from high-dimensional sensory inputs using end-to-end reinforcement learning [2]. DQNs were tested in the domain of classic Atari games such as Pong, Space Invaders, Breakout and Seaquest, receiving only the pixels and the game score as inputs, to surpass the performance of all previous algorithms and achieve a level comparable to that of a professional human games tester across a set of 49 games, using the same algorithm, network architecture and hyperparameters [3] .
Table of Contents
Selected Publications
[5]2010 ...
2015 ...
External Links
References
What links here?
Up one level