Michael L. Littman
Michael Littman studies machine learning and decision making under uncertainty and explains computing to broad audiences. Littman researches reinforcement learning, probabilistic planning, and decision making under uncertainty. His work also includes automated crossword-puzzle solving. Littman published Code to Joy: Why Everyone Should Learn a Little Programming on October 3, 2023. He also narrated its audio edition, extending his work in public computing education.
- Now at
- Brown University
- Works
- 347
- Citations
- 37,745
- h-index
- 72
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
2010
Research recognition
AAAI elected Michael L. Littman as a Fellow in 2010.
-
2023
Code to Joy
Littman published Code to Joy: Why Everyone Should Learn a Little Programming on October 3, 2023. He also narrated its audio edition, extending his work in public computing education.
-
As of October 2026
Learning and uncertain decisions
Littman researches reinforcement learning, probabilistic planning, and decision making under uncertainty. His work also includes automated crossword-puzzle solving.
-
As of October 2026
Public engagement with AI
Littman’s public work explains applications and implications of AI. He received an AAAS Leshner Leadership Institute fellowship focused on public engagement with AI, as well as teaching awards.
Sources and credits
Photo: Unknown author, via Wikimedia Commons. License: CC BY 3.0. Source: commons.wikimedia.org. Cropped to a square and resized. Ask us to remove or replace this photo.
