904 search results - page 87 / 181 » Game Theory |
159
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AAMAS
2007
Springer
15 years 10 months ago
2007
Springer
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
127
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ICIP
2010
IEEE
15 years 2 months ago
2010
IEEE
Pitching is the starting point of an event in baseball games. Hence, locating pitching shots is a critical step in content analysis of a baseball game video. However, pitching fra...
130
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CHI
2011
ACM
14 years 7 months ago
2011
ACM
Exertion games require investing physical effort. The fact that such games can support physical health is tempered by our limited understanding of how to design for engaging exert...
153
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TASE
2008
IEEE
15 years 4 months ago
2008
IEEE
In this paper, we focus on mechanism design for single leader Stackelberg problems, which are a special case of hierarchical decision making problems in which a distinguished agent...
145
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SOFSEM
2010
Springer
16 years 1 months ago
2010
Springer
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...