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Game theoretical solution concepts for learning agents with extensive-form games (Extended Abstract)
| Content Provider | Semantic Scholar |
|---|---|
| Author | Panozzo, Fabio |
| Copyright Year | 2012 |
| Abstract | My Ph.D thesis focuses on the study of solution concepts for rational learning agents in extensive–form games in absence of common knowledge; specifically, on the definition of solution concepts, their search, analysis of static and dynamic property, characterization of learning dynamics. Summarily, my work is finalized to better understand how to integrate more thoroughly game theory and machine learning. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.ifaamas.org/Proceedings/aamas2012/papers/DC_16.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |