# Michael L. Littman

> American computer scientist

**Wikidata**: [Q6832031](https://www.wikidata.org/wiki/Q6832031)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Michael_L._Littman)  
**Source**: https://4ort.xyz/entity/michael-l-littman

## Summary
Michael L. Littman is an American computer scientist, university teacher, and writer. He is recognized for his significant contributions to artificial intelligence, particularly in reinforcement learning and sequential decision-making algorithms, earning him fellowships from AAAI and ACM. He currently serves as a professor at Brown University.

## Biography
- Born: 1966-08-30, Philadelphia
- Nationality: United States
- Education: Doctor of Philosophy from Brown University (1996)
- Known for: Contributions to reinforcement learning, sequential decision-making algorithms, and artificial intelligence.
- Employer(s): Brown University (professor, from 2012), Rutgers University (2002-2012), AT&T (2000-2002), Duke University (1996-1999)
- Field(s): Computer science, artificial intelligence, machine learning, robotics, game theory, computer network, computer programming, pattern recognition

## Contributions
Michael L. Littman has made significant contributions to the field of artificial intelligence, particularly in the areas of reinforcement learning and sequential decision-making. His work has been recognized with prestigious fellowships; he was named an AAAI Fellow in 2010 for his "significant contributions to the fields of reinforcement learning, decision making under uncertainty, and statistical language applications." In 2018, he was honored as an ACM Fellow for his "contributions to the design and analysis of sequential decision making algorithms in artificial intelligence." He earned his Doctor of Philosophy from Brown University in 1996, under the advisement of Leslie P. Kaelbling, an American roboticist and computer scientist. Throughout his career, he has held academic positions at Duke University, Rutgers University, and currently serves as a professor at Brown University. He also worked at AT&T. Littman has mentored numerous doctoral students, including David Abel, Lihong Li, and Carlos Diuk Wasser, contributing to the next generation of researchers in his fields.

## FAQs
### Q: What are Michael L. Littman's main areas of expertise?
A: Michael L. Littman's main areas of expertise include computer science, artificial intelligence, machine learning, robotics, game theory, computer networks, computer programming, and pattern recognition. He is particularly known for his work in reinforcement learning and sequential decision-making algorithms.

### Q: Where did Michael L. Littman receive his education?
A: Michael L. Littman received his Doctor of Philosophy degree from Brown University in 1996. His doctoral advisor was Leslie P. Kaelbling.

### Q: What notable awards has Michael L. Littman received?
A: Michael L. Littman has been recognized as an AAAI Fellow in 2010 for his contributions to reinforcement learning and decision making, and as an ACM Fellow in 2018 for his work on sequential decision-making algorithms in artificial intelligence.

### Q: What institutions has Michael L. Littman been affiliated with?
A: Michael L. Littman has been affiliated with Duke University (1996-1999), AT&T (2000-2002), Rutgers University (2002-2012), and is currently a professor at Brown University (from 2012).

## Why They Matter
Michael L. Littman matters due to his foundational and ongoing impact on the fields of artificial intelligence and machine learning. His "significant contributions to the fields of reinforcement learning, decision making under uncertainty, and statistical language applications," as recognized by his AAAI Fellowship in 2010, have advanced the theoretical and practical understanding of how intelligent systems can learn and make decisions in complex environments. Furthermore, his work on "the design and analysis of sequential decision making algorithms in artificial intelligence," acknowledged by his ACM Fellowship in 2018, has been crucial for developing more autonomous and effective AI systems. Through his academic roles at institutions like Duke, Rutgers, and Brown Universities, and his mentorship of numerous doctoral students, he has directly influenced and shaped a generation of computer scientists. His research has contributed to the broader capabilities of AI, impacting areas from robotics to computer programming, and his continued work helps define the future direction of these rapidly evolving disciplines.

## Notable For
*   AAAI Fellow (2010) for contributions to reinforcement learning, decision making under uncertainty, and statistical language applications.
*   ACM Fellow (2018) for contributions to the design and analysis of sequential decision-making algorithms in artificial intelligence.
*   Professor at Brown University (since 2012).
*   Doctoral advisor to numerous students in computer science and AI.
*   Doctoral student of Leslie P. Kaelbling at Brown University.

## Body
### Personal Life and Education
Michael L. Littman was born on August 30, 1966, in Philadelphia. He is a citizen of the United States. He earned his Doctor of Philosophy degree from Brown University on May 30, 1996, having commenced his studies there on July 1, 1993. His doctoral advisor was Leslie P. Kaelbling, an American roboticist and computer scientist.

### Professional Career
Littman's career spans both academic and industrial roles. He served as an employer at Duke University from 1996 to 1999. Following this, he worked at AT&T from 2000 to 2002. From 2002 to 2012, he was affiliated with Rutgers University. Since July 1, 2012, Michael L. Littman has been a professor at Brown University. His primary occupations include computer scientist, university teacher, and writer.

### Fields of Work and Research
His extensive fields of work include:
*   Computer science
*   Artificial intelligence
*   Machine learning
*   Robotics
*   Game theory
*   Computer network
*   Computer programming
*   Pattern recognition

He is particularly recognized for his work in reinforcement learning and sequential decision-making algorithms.

### Awards and Recognition
Michael L. Littman has received significant recognition for his contributions to computer science and artificial intelligence:
*   **AAAI Fellow (2010):** Awarded for "significant contributions to the fields of reinforcement learning, decision making under uncertainty, and statistical language applications."
*   **ACM Fellow (2018):** Awarded for "contributions to the design and analysis of sequential decision making algorithms in artificial intelligence." He became an ACM Fellow on December 5, 2018.

### Mentorship and Academic Influence
As a university teacher, Littman has advised numerous doctoral students, including:
*   David Abel
*   Stephen Michael Majercik
*   Fan Jiang
*   Alexander L. Strehl
*   Fancong Zeng
*   Lihong Li
*   Carlos Diuk Wasser
*   Ali Nouri
*   Sergiu Goschin
*   Ari Ariel Weinstein

### Online Presence
Michael L. Littman maintains an active online presence, including:
*   A website at Brown University: http://cs.brown.edu/~mlittman/ (active from 2012)
*   A former website at Rutgers University: https://www.cs.rutgers.edu/~mlittman/ (active 2002-2012)
*   A Twitter account: @mlittmancs (active from 2011-11-04)

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## References

1. Czech National Authority Database
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-5596-1840/employment/3967299)
3. [Source](https://aaai.org/about-aaai/aaai-awards/the-aaai-fellows-program/elected-aaai-fellows/)
4. [Source](https://www.acm.org/media-center/2018/december/fellows-2018)
5. Mathematics Genealogy Project
6. Virtual International Authority File
7. Google Knowledge Graph
8. YouTube API