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WFLP
2009
Springer
297views Algorithms» more  WFLP 2009»
14 years 2 months ago
Programming with Multiple Paradigms in Lua
Abstract. Lua is a scripting language used in many industrial applications, with an emphasis on embedded systems and games. Two key points in the design of the language that led to...
Roberto Ierusalimschy
CIG
2006
IEEE
14 years 1 months ago
Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation
Abstract— This paper compares the use of temporal difference learning (TDL) versus co-evolutionary learning (CEL) for acquiring position evaluation functions for the game of Othe...
Simon M. Lucas, Thomas Philip Runarsson
IAT
2003
IEEE
14 years 1 months ago
Asymmetric Multiagent Reinforcement Learning
A gradient-based method for both symmetric and asymmetric multiagent reinforcement learning is introduced in this paper. Symmetric multiagent reinforcement learning addresses the ...
Ville Könönen
ACG
2003
Springer
14 years 29 days ago
Search versus Knowledge: An Empirical Study of Minimax on KRK
This article presents the results of an empirical experiment designed to gain insight into what is the effect of the minimax algorithm on the evaluation function. The experiment’...
Aleksander Sadikov, Ivan Bratko, Igor Kononenko
SIAMJO
2008
104views more  SIAMJO 2008»
13 years 7 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd