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» Learning Payoffs in Large Symmetric Games
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AI
2004
Springer
13 years 4 months ago
Efficient learning equilibrium
Efficient Learning Equilibrium (ELE) is a natural solution concept for multi-agent encounters with incomplete information. It requires the learning algorithms themselves to be in ...
Ronen I. Brafman, Moshe Tennenholtz
CORR
2002
Springer
108views Education» more  CORR 2002»
13 years 4 months ago
Learning to Play Games in Extensive Form by Valuation
Game theoretic models of learning which are based on the strategic form of the game cannot explain learning in games with large extensive form. We study learning in such games by ...
Philippe Jehiel, Dov Samet
TSMC
1998
97views more  TSMC 1998»
13 years 4 months ago
Parallel algorithms for modules of learning automata
— Parallel algorithms are presented for modules of learning automata with the objective of improving their speed of convergence without compromising accuracy. A general procedure...
M. A. L. Thathachar, M. T. Arvind
CRYPTO
2009
Springer
105views Cryptology» more  CRYPTO 2009»
13 years 11 months ago
Privacy-Enhancing Auctions Using Rational Cryptography
Abstract. We consider enhancing with privacy concerns a large class of auctions, which include sealed-bid single-item auctions but also general multi-item multi-winner auctions, ou...
Peter Bro Miltersen, Jesper Buus Nielsen, Nikos Tr...
ATAL
2006
Springer
13 years 8 months ago
Efficient agents for cliff-edge environments with a large set of decision options
This paper proposes an efficient agent for competing in Cliff Edge (CE) environments, such as sealed-bid auctions, dynamic pricing and the ultimatum game. The agent competes in on...
Ron Katz, Sarit Kraus