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» Avoider-Enforcer: The rules of the game
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AAMAS
2011
Springer
13 years 2 months ago
Using focal point learning to improve human-machine tacit coordination
We consider an automated agent that needs to coordinate with a human partner when communication between them is not possible or is undesirable (tacit coordination games). Specifi...
Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschei...
ATAL
2008
Springer
13 years 9 months ago
A tractable and expressive class of marginal contribution nets and its applications
Coalitional games raise a number of important questions from the point of view of computer science, key among them being how to represent such games compactly, and how to efficien...
Edith Elkind, Leslie Ann Goldberg, Paul W. Goldber...
ECAI
1998
Springer
13 years 11 months ago
Metaprogramming Forced Moves
Knowledge about forced moves enables to select a small number of moves from the set of possible moves. It is very important in complex domains where search trees have a large branc...
Tristan Cazenave
NIPS
2004
13 years 8 months ago
Solitaire: Man Versus Machine
In this paper, we use the rollout method for policy improvement to analyze a version of Klondike solitaire. This version, sometimes called thoughtful solitaire, has all cards reve...
Xiang Yan, Persi Diaconis, Paat Rusmevichientong, ...
JAIR
2008
135views more  JAIR 2008»
13 years 7 months ago
On Similarities between Inference in Game Theory and Machine Learning
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...