# Andrew Barto

> Professor of computer science

**Wikidata**: [Q4756294](https://www.wikidata.org/wiki/Q4756294)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Andrew_Barto)  
**Source**: https://4ort.xyz/entity/andrew-barto

## Summary

Andrew Barto (born 1948[1]) is an American engineer, computer scientist, artificial intelligence researcher, and university teacher[2]. His work spans computer science, artificial intelligence, informatics, and machine learning[2].

## Summary
Andrew Barto is an American professor of computer science and engineer who researches artificial intelligence and machine learning. He is a long-time faculty member at the University of Massachusetts Amherst, a member of the Institute of Electrical and Electronics Engineers, and a recipient of awards including IEEE Fellow and the IEEE Neural Networks Pioneer Award.

## Biography
- Born: 1948
- Nationality: United States
- Education: University of Michigan; University of Massachusetts Amherst
- Known for: Research and teaching in computer science, artificial intelligence, machine learning, informatics, and learning systems
- Employer(s): University of Massachusetts Amherst
- Field(s): Computer science; artificial intelligence; informatics; machine learning; learning systems

## Contributions
- Academic research in computer science, artificial intelligence, machine learning, informatics, and learning systems (fields documented in authority records and academic metadata).
- Long-term faculty role and university teacher at the University of Massachusetts Amherst, where he served as an employer-affiliated professor.
- Supervision and mentorship of doctoral students who became prominent in the field; documented doctoral students include Richard S. Sutton, Jonathan Richard Bachrach, Theodore J. Perkins, Satinder Singh, Robert A. Jacobs, Balaraman Ravindran, Özgür Şimşek, and Scott Kuindersma.
- Participation and membership in the Institute of Electrical and Electronics Engineers (IEEE), including recognition as an IEEE Fellow and recipient of the IEEE Neural Networks Pioneer Award.
- Recognition as a Fellow of the American Association for the Advancement of Science.
- Maintenance of an academic web presence: http://www-all.cs.umass.edu/~barto.
- Author and contributor to the literature of his fields as evidenced by author identifiers and bibliographic records (dblp_author_id: a/AndrewGBarto; google_scholar_author_id: CMIgrCgAAAAJ; mr_author_id: 220536; zbmath_author_id: barto.andrew-g; openmlol_author_id: 297617).

## FAQs
Q: Where has Andrew Barto worked?
A: Andrew Barto has been employed by the University of Massachusetts Amherst and is educated at both the University of Michigan and the University of Massachusetts Amherst.

Q: What are Andrew Barto’s main research areas?
A: His documented fields of work include computer science, artificial intelligence, informatics, machine learning, and learning systems.

Q: Has Andrew Barto received major professional honors?
A: Yes. He is an IEEE Fellow, a Fellow of the American Association for the Advancement of Science, and a recipient of the IEEE Neural Networks Pioneer Award.

Q: Who advised Andrew Barto and whom did he advise?
A: His doctoral advisor was Bernard P. Zeigler. He advised several doctoral students including Richard S. Sutton, Jonathan Richard Bachrach, Theodore J. Perkins, Satinder Singh, Robert A. Jacobs, Balaraman Ravindran, Özgür Şimşek, and Scott Kuindersma.

Q: What professional memberships and community roles does he hold?
A: He is a member of the Institute of Electrical and Electronics Engineers (IEEE).

Q: What languages does Andrew Barto use professionally?
A: Authority records indicate he speaks and uses English.

Q: Where can I find Andrew Barto’s academic publications or author profiles?
A: He has bibliographic and author identifiers across multiple services, including dblp (a/AndrewGBarto), Google Scholar (CMIgrCgAAAAJ), Math Genealogy Project (39052), and others listed in his authority records.

## Why They Matter
Andrew Barto’s significance lies in sustained academic leadership in machine learning and related areas. His role as a long-term university professor at the University of Massachusetts Amherst positioned him to educate and mentor a generation of researchers; his documented doctoral students include highly influential figures in reinforcement learning and AI (for example, Richard S. Sutton). Professional recognition by IEEE and the American Association for the Advancement of Science indicates peer acknowledgment of his technical and scholarly impact. His author and bibliographic identifiers across major databases reflect a body of scholarly work that contributes to the institutional and intellectual infrastructure of machine learning, informatics, and learning systems. Without his mentorship and scholarly presence, the academic lineage and some research directions in learning systems and reinforcement learning would have fewer documented contributors and connections.

## Notable For
- Professor of computer science at the University of Massachusetts Amherst (employer record).
- Member of the Institute of Electrical and Electronics Engineers (IEEE).
- Awarded IEEE Fellow.
- Awarded the IEEE Neural Networks Pioneer Award.
- Named Fellow of the American Association for the Advancement of Science.
- Doctoral advisor Bernard P. Zeigler; documented doctoral students include Richard S. Sutton and several other researchers who advanced AI and machine learning.
- Extensive bibliographic and authority records across library and academic services (ISNI, VIAF, GND, dblp, Google Scholar, Math Genealogy Project, WorldCat, ZBMath, etc.).
- Maintains an academic website: http://www-all.cs.umass.edu/~barto.

## Body

### Early life and identity
- Andrew Barto was born in 1948.  
- His given name is Andrew; recorded aliases include Andrew G. Barto, Andrew Gehret Barto, A. G. Barto, and non-Latin-script forms Барто and Эндрю.  
- He is documented as male.

### Education
- He was educated at the University of Michigan.  
- He is also associated academically with the University of Massachusetts Amherst as an educated-at institution.

### Academic career and employer affiliation
- The primary employer listed is the University of Massachusetts Amherst, a public university in Massachusetts, United States.  
- He has served as a university teacher and professor in computer science at that institution.  
- His professional roles encompass engineer, computer scientist, artificial intelligence researcher, and university teacher.

### Research fields and scholarly focus
- His fields of work are listed as computer science, artificial intelligence, informatics, machine learning, and learning systems.  
- These fields are reflected across authority records and academic metadata documenting his career and outputs.

### Mentorship and academic lineage
- Doctoral advisor: Bernard P. Zeigler (documented in academic records).  
- Doctoral students supervised by Andrew Barto include:
  - Richard S. Sutton (Canadian computer scientist; birth year 1950 per records)
  - Jonathan Richard Bachrach
  - Theodore J. Perkins
  - Satinder Singh
  - Robert A. Jacobs
  - Balaraman Ravindran
  - Özgür Şimşek
  - Scott Kuindersma
- His mentorship connects him directly to subsequent generations of AI and machine learning researchers, as evidenced by the Math Genealogy Project entry (ID 39052).

### Honors, awards, and professional recognition
- He is a recipient of the IEEE Fellow distinction.  
- He received the IEEE Neural Networks Pioneer Award.  
- He is also documented as a Fellow of the American Association for the Advancement of Science.  
- Membership: He is a member of the Institute of Electrical and Electronics Engineers (IEEE).

### Publications, bibliographies, and author identifiers
- He is recorded in multiple bibliographic and authority systems, indicating a substantive publication record. Key identifiers include:
  - ISNI: 0000000117469823
  - GND (German National Library): 1099442664
  - UOM ID: 33359
  - NLAI ID: 1582081 (with Arabic and Latin name forms noted)
  - VIAF ID: 16510975
  - idref ID: 06925270X
  - NUKAT ID: n00022740
  - BIBSYS ID: 24928
  - Freebase ID: /m/0fsvt9
  - MR Author ID: 220536
  - NL CR AUT ID: ntk20191036135
  - dblp author id: a/AndrewGBarto
  - zbMATH author id: barto.andrew-g
  - openmlol author id: 297617
  - Google Scholar author id: CMIgrCgAAAAJ
  - WorldCat Entities ID: E39PBJjhGRQYDffyJdRMygQTHC
  - Library of Congress Authority ID: n97066092
  - NDL Authority ID: 00829674
  - Mathematics Genealogy Project ID: 39052
  - Yale Lux ID: person/01ed956e-0479-4740-8f70-a2461a01e5dc
- These records corroborate his authorship and presence in the scholarly record.

### Online presence and language
- Official academic website: http://www-all.cs.umass.edu/~barto (English).  
- Languages spoken, written, or signed: English (documented in authority records).  
- He has a Wikipedia entry titled "Andrew Barto" and Wikipedia-language presence in Arabic, Belarusian, Catalan, Kurdish (cKB), German, English, Esperanto, Spanish, French, Malagasy, Malay, Portuguese, Russian, Turkish, Ukrainian, and Chinese.

### Authority descriptions and cataloging notes
- Wikidata describes him as "Professor of computer science."  
- Multiple national and international library and catalog systems maintain authority records for him, reflecting a sustained academic career and publication footprint.

### Influence and legacy
- His documented doctoral students, especially Richard S. Sutton, indicate a significant academic lineage in AI and machine learning.  
- Professional recognitions by IEEE and AAAS acknowledge contributions to neural networks and related fields.  
- The breadth of identifier coverage (from ISNI and VIAF to dblp and Google Scholar) demonstrates institutional recognition of his scholarship and mentorship.

### Miscellaneous identifiers and metadata
- Instance of: human (per authority record).  
- Sex or gender: male.  
- Citizenship: United States (records cite a Wikipedia revision as a reference).  
- Occupation entries across records: engineer; computer scientist; artificial intelligence researcher; university teacher.  
- Sitelink_count and other metadata are present in source records indicating wide interlinking across knowledge systems.

### Summary of documented relationships
- Affiliated institutions: University of Massachusetts Amherst (employer and educated_at), University of Michigan (educated_at).  
- Professional relationships: member of IEEE; doctoral advisor Bernard P. Zeigler; doctoral students including Richard S. Sutton and others.  
- Awards and recognitions: IEEE Fellow; IEEE Neural Networks Pioneer Award; Fellow of the American Association for the Advancement of Science.

(End of entry.)

## References

1. Czech National Authority Database
2. Mathematics Genealogy Project
3. Virtual International Authority File
4. SUDOC
5. IdRef