| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 377478 | Artificial Intelligence | 2007 | 5 Pages |
Abstract
This paper surveys recent work on learning in games and delineates the boundary between forms of learning that lead to Nash equilibrium, and forms that lead to weaker notions of equilibrium or to none at all.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
