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» The Algorithmics of Solitaire-Like Games
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77
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AAAI
1994
14 years 10 months ago
Evolving Neural Networks to Focus Minimax Search
Neural networks were evolved through genetic algorithms to focus minimax search in the game of Othello. At each level of the search tree, the focus networks decide which moves are...
David E. Moriarty, Risto Miikkulainen
ECAI
2010
Springer
14 years 10 months ago
Nested Monte-Carlo Expression Discovery
Nested Monte-Carlo search is a general algorithm that gives good results in single player games. Genetic Programming evaluates and combines trees to discover expressions that maxim...
Tristan Cazenave
CORR
2008
Springer
154views Education» more  CORR 2008»
14 years 9 months ago
Best-Effort Strategies for Losing States
We consider games played on finite graphs, whose goal is to obtain a trace belonging to a given set of winning traces. We focus on those states from which Player 1 cannot force a w...
Marco Faella
73
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AMAI
2006
Springer
14 years 9 months ago
Bargaining over multiple issues in finite horizon alternating-offers protocol
In this paper we study multi issue alternating-offers bargaining in a perfect information finite horizon setting, we determine the pertinent subgame perfect equilibrium, and we pro...
Francesco Di Giunta, Nicola Gatti
SIGMETRICS
2008
ACM
14 years 9 months ago
Joint rate-and-power allocation for multi-channel spectrum sharing networks
abstract, we propose a study on joint rate-and-power allocation problem for multi-channel spectrum sharing networks (SSNs). We formulate this cross-layer optimization problem as a...
Yuan Wu, Danny H. K. Tsang