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Building machines that learn and think for themselves

Published online by Cambridge University Press:  10 November 2017

Matthew Botvinick ,
David G. T. Barrett ,
Peter Battaglia ,
Nando de Freitas ,
Darshan Kumaran ,
Joel Z Leibo ,
Timothy Lillicrap ,
Joseph Modayil ,
Shakir Mohamed  and
Neil C. Rabinowitz
...Show all authors
Matthew Botvinick
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
David G. T. Barrett
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Peter Battaglia
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Nando de Freitas
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Darshan Kumaran
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Joel Z Leibo
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Timothy Lillicrap
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Joseph Modayil
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Shakir Mohamed
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Neil C. Rabinowitz
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Danilo J. Rezende
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Adam Santoro
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Tom Schaul
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Christopher Summerfield
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Greg Wayne
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Theophane Weber
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Daan Wierstra
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Shane Legg
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
Demis Hassabis
Affiliation:
DeepMind, Kings Cross, London N1c4AG, United Kingdom. [email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]@[email protected]://www.deepmind.com
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Abstract

We agree with Lake and colleagues on their list of “key ingredients” for building human-like intelligence, including the idea that model-based reasoning is essential. However, we favor an approach that centers on one additional ingredient: autonomy. In particular, we aim toward agents that can both build and exploit their own internal models, with minimal human hand engineering. We believe an approach centered on autonomous learning has the greatest chance of success as we scale toward real-world complexity, tackling domains for which ready-made formal models are not available. Here, we survey several important examples of the progress that has been made toward building autonomous agents with human-like abilities, and highlight some outstanding challenges.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e255
Copyright
Copyright © Cambridge University Press 2017 

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