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CIG
2006
IEEE
15 years 3 months ago
Monte-Carlo Go Reinforcement Learning Experiments
Abstract— This paper describes experiments using reinforcement learning techniques to compute pattern urgencies used during simulations performed in a Monte-Carlo Go architecture...
Bruno Bouzy, Guillaume Chaslot
FCCM
2008
IEEE
212views VLSI» more  FCCM 2008»
15 years 3 months ago
Map-reduce as a Programming Model for Custom Computing Machines
The map-reduce model requires users to express their problem in terms of a map function that processes single records in a stream, and a reduce function that merges all mapped out...
Jackson H. C. Yeung, C. C. Tsang, Kuen Hung Tsoi, ...
KES
2000
Springer
15 years 29 days ago
On AIE-ASM: a software to simulate artificial stock markets with genetic programming
Agent-based computational economic modeling requires demanding work on computer programming. Usually, the publications as outcomes of running these programs do not provide readers ...
Shu-Heng Chen, Chung-Chih Liao, Chia-Hsuan Yeh
CAINE
2003
14 years 10 months ago
Development of a Computational Toolkit for Biomechanical Analysis and Simulation: The Vertebrate Analyzer
This paper discusses the development of a computational modeling and analysis toolkit to construct, animate, and biomechanically analyze sophisticated models of vertebrates. Users...
K. F. Hulme, F. C. Mendel, K. P. Chugh
IPPS
2008
IEEE
15 years 3 months ago
Reducing the run-time of MCMC programs by multithreading on SMP architectures
The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov Chain Mont...
Jonathan M. R. Byrd, Stephen A. Jarvis, A. H. Bhal...