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» Science: the rules of the game
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CG
2000
Springer
15 years 10 months ago
Chess Neighborhoods, Function Combination, and Reinforcement Learning
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...
Robert Levinson, Ryan Weber
ATAL
2006
Springer
15 years 10 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
ATAL
2008
Springer
15 years 8 months ago
Norm emergence under constrained interactions in diverse societies
Effective norms, emerging from sustained individual interactions over time, can complement societal rules and significantly enhance performance of individual agents and agent soci...
Partha Mukherjee, Sandip Sen, Stéphane Airi...
OPODIS
2007
15 years 7 months ago
Worm Versus Alert: Who Wins in a Battle for Control of a Large-Scale Network?
Consider the following game between a worm and an alert3 over a network of n nodes. Initially, no nodes are infected or alerted and each node in the network is a special detector n...
James Aspnes, Navin Rustagi, Jared Saia
AAMAS
2011
Springer
15 years 1 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...