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Machine learning, functions and goals

Abstract:

Machine learning researchers distinguish between reinforcement learning and supervised learning and refer to reinforcement learning systems as “agents”. This paper vindicates the claim that systems trained by reinforcement learning are agents while those trained by supervised learning are not. Systems of both kinds satisfy Dretske’s criteria for agency, because they both learn to produce outputs selectively in response to inputs. However, reinforcement learning is sensitive to the instrumenta...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.52685/cjp.22.66.5

Authors


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Institution:
University of Oxford
Division:
HUMS
Department:
Philosophy Faculty
Role:
Author
ORCID:
0000-0001-5837-5057
Publisher:
Philosophy Documentation Center
Journal:
Croatian Journal of Philosophy More from this journal
Volume:
22
Issue:
66
Pages:
351-370
Publication date:
2022-12-27
Acceptance date:
2022-09-22
DOI:
EISSN:
1847-6139
ISSN:
1333-1108
Language:
English
Keywords:
Pubs id:
1326391
Local pid:
pubs:1326391
Deposit date:
2023-02-01

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