Andrew Barto
E325558
Andrew Barto is an American computer scientist and a pioneering researcher in reinforcement learning, known for co-authoring the influential textbook "Reinforcement Learning: An Introduction."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Andrew Barto canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T3075722 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Barto Context triple: [Drew Bagnell, hasAcademicAdvisor, Andrew Barto]
-
A.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
-
B.
Barton Myers
Barton Myers is a Canadian-American architect renowned for his innovative urban infill projects and prominent cultural and civic buildings across North America.
-
C.
David Weisbart
David Weisbart was an American film editor and producer best known for his work on influential mid-20th-century Hollywood dramas and youth-oriented films.
-
D.
Alan Rothenberg
Alan Rothenberg is an American sports executive and attorney best known for his leadership roles in U.S. soccer, including helping bring and organize the 1994 FIFA World Cup in the United States.
-
E.
Andreas Whittam Smith
Andreas Whittam Smith is a British journalist and newspaper editor best known as the founding editor of the UK national newspaper The Independent.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Barto Target entity description: Andrew Barto is an American computer scientist and a pioneering researcher in reinforcement learning, known for co-authoring the influential textbook "Reinforcement Learning: An Introduction."
-
A.
Philip Bruns
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
-
B.
Barton Myers
Barton Myers is a Canadian-American architect renowned for his innovative urban infill projects and prominent cultural and civic buildings across North America.
-
C.
David Weisbart
David Weisbart was an American film editor and producer best known for his work on influential mid-20th-century Hollywood dramas and youth-oriented films.
-
D.
Alan Rothenberg
Alan Rothenberg is an American sports executive and attorney best known for his leadership roles in U.S. soccer, including helping bring and organize the 1994 FIFA World Cup in the United States.
-
E.
Andreas Whittam Smith
Andreas Whittam Smith is a British journalist and newspaper editor best known as the founding editor of the UK national newspaper The Independent.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
author
ⓘ
computer scientist ⓘ person ⓘ researcher ⓘ |
| academicDegree | PhD in Computer Science ⓘ |
| affiliation |
American Association for Artificial Intelligence
ⓘ
surface form:
Association for the Advancement of Artificial Intelligence
IEEE Computational Intelligence Society ⓘ |
| authorOf |
"Reinforcement Learning: An Introduction"
ⓘ
"Reinforcement Learning: An Introduction" ⓘ
surface form:
"Reinforcement Learning: An Introduction" second edition
|
| awardReceived |
ACM Autonomous Agents Research Award
ⓘ
surface form:
ACM SIGART Autonomous Agents Research Award
IEEE Neural Networks Pioneer Award ⓘ Reinforcement Learning Lifetime Achievement-style recognitions ⓘ |
| birthPlace | United States of America ⓘ |
| citizenship | American ⓘ |
| coAuthor | Richard S. Sutton ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| educatedAt | University of Michigan ⓘ |
| employer | University of Massachusetts Amherst ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
machine learning ⓘ reinforcement learning ⓘ |
| genre | scientific textbook ⓘ |
| hasAcademicAdvisor | John Holland ⓘ |
| hasInfluenced | deep reinforcement learning community ⓘ |
| influenced |
applications of RL in robotics
ⓘ
development of modern reinforcement learning ⓘ |
| knownFor |
co-authoring "Reinforcement Learning: An Introduction"
ⓘ
pioneering work in reinforcement learning ⓘ |
| language | English ⓘ |
| memberOf |
College of Information and Computer Sciences
ⓘ
surface form:
College of Information and Computer Sciences, UMass Amherst
|
| notableConcept | reinforcement learning as trial-and-error learning framework ⓘ |
| notableStudent | Richard S. Sutton ⓘ |
| notableWork |
actor-critic methods in reinforcement learning
ⓘ
temporal-difference learning research ⓘ |
| occupation |
computer scientist
ⓘ
university professor ⓘ |
| positionHeld |
Department Chair, Computer Science at UMass Amherst
ⓘ
Professor ⓘ |
| publicationTopic |
Markov decision processes
ⓘ
function approximation in reinforcement learning ⓘ temporal-difference methods ⓘ |
| researchInterest |
adaptive behavior
ⓘ
computational neuroscience ⓘ reinforcement learning theory ⓘ |
| teaches |
machine learning
ⓘ
reinforcement learning ⓘ |
| workInstitution | University of Massachusetts Amherst ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Andrew Barto Description of subject: Andrew Barto is an American computer scientist and a pioneering researcher in reinforcement learning, known for co-authoring the influential textbook "Reinforcement Learning: An Introduction."
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.