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» Cross-Entropy for Monte-Carlo Tree Search
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TCIAIG
2010
13 years 5 months ago
Evaluating Root Parallelization in Go
Abstract--Parallelizing Monte-Carlo tree search has been considered to be a way to improve the strength of computer Go programs. In this paper, we analyze the performance of two ro...
Yusuke Soejima, Akihiro Kishimoto, Osamu Watanabe
TCIAIG
2010
13 years 5 months ago
Current Frontiers in Computer Go
This paper presents the recent technical advances in Monte-Carlo Tree Search for the Game of Go, shows the many similarities and the rare differences between the current best progr...
Arpad Rimmel, Olivier Teytaud, Chang-Shing Lee, Sh...
ICML
2010
IEEE
13 years 12 months ago
Feature Selection as a One-Player Game
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
Romaric Gaudel, Michèle Sebag
NCA
2006
IEEE
13 years 10 months ago
Open-loop regulation and tracking control based on a genealogical decision tree
The goal of this paper is to design a new control algorithm for open-loop control of complex systems. This control approach is based on a genealogical decision tree for both regula...
Kaddour Najim, Enso Ikonen, P. Del Moral
AAAI
2006
14 years 8 days ago
Properties of Forward Pruning in Game-Tree Search
Forward pruning, or selectively searching a subset of moves, is now commonly used in game-playing programs to reduce the number of nodes searched with manageable risk. Forward pru...
Yew Jin Lim, Wee Sun Lee