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» Bandit Based Monte-Carlo Planning
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ECML
2006
Springer
13 years 8 months ago
Bandit Based Monte-Carlo Planning
Abstract. For large state-space Markovian Decision Problems MonteCarlo planning is one of the few viable approaches to find near-optimal solutions. In this paper we introduce a new...
Levente Kocsis, Csaba Szepesvári
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
13 years 9 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
EUROGP
2010
Springer
330views Optimization» more  EUROGP 2010»
13 years 11 months ago
Bandit-Based Genetic Programming
We consider the validation of randomly generated patterns in a Monte-Carlo Tree Search program. Our bandit-based genetic programming (BGP) algorithm, with proved mathematical prope...
Jean-Baptiste Hoock, Olivier Teytaud
WSC
2004
13 years 6 months ago
On Using Monte Carlo Methods for Scheduling
Monte Carlo techniques have long been used (since Buffon's experiment to approximate the value of by tossing a needle onto striped paper) to analyze phenomena which, due to ...
Samarn Chantaravarapan, Ali K. Gunal, Edward J. Wi...
FCCM
2009
IEEE
121views VLSI» more  FCCM 2009»
13 years 11 months ago
FPGA-based Monte Carlo Computation of Light Absorption for Photodynamic Cancer Therapy
—Photodynamic therapy (PDT) is a method of treating cancer that combines light and light-sensitive drugs to selectively destroy cancerous tumours without harming the healthy tiss...
Jason Luu, Keith Redmond, William Lo, Paul Chow, L...