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ESANN
2008
15 years 7 months ago
Learning to play Tetris applying reinforcement learning methods
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Alexander Groß, Jan Friedland, Friedhelm Sch...
SAGT
2009
Springer
136views Game Theory» more  SAGT 2009»
16 years 26 days ago
Non-clairvoyant Scheduling Games
In a scheduling game, each player owns a job and chooses a machine to execute it. While the social cost is the maximal load over all machines (makespan), the cost (disutility) of ...
Christoph Dürr, Nguyen Kim Thang
COCO
2009
Springer
96views Algorithms» more  COCO 2009»
16 years 27 days ago
Parallel Approximation of Non-interactive Zero-sum Quantum Games
This paper studies a simple class of zero-sum games played by two competing quantum players: each player sends a mixed quantum state to a referee, who performs a joint measurement...
Rahul Jain, John Watrous
CEC
2009
IEEE
16 years 1 months ago
Mixed Mutation Strategy Embedded Differential Evolution
Differential evolution (DE) is a powerful yet simple evolutionary algorithm for optimizing real valued optimization problems. Traditional investigations with differential evolution...
Millie Pant, Musrrat Ali, Ajith Abraham
SAGT
2009
Springer
118views Game Theory» more  SAGT 2009»
16 years 26 days ago
A Modular Approach to Roberts' Theorem
Roberts’ theorem from 1979 states that the only incentive compatible mechanisms over a full domain and range of at least 3 are weighted variants of the VCG mechanism termed affin...
Shahar Dobzinski, Noam Nisan