Combining Old-Fashioned Computer Go with Monte Carlo Go

Combining Old-Fashioned Computer Go with Monte Carlo Go

In this paper we discuss the idea of combining old-fashioned computer Go with Monte Carlo Go. We introduce an analyze-after approach to random simulations. We also briefly present the other features of our present Monte Carlo implementation with upper confidence trees. We then explain our approach t...

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Bibliographische Detailangaben
Hauptverfasser: Chelaru, F., Ciortuz, L.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Algorithm design and analysis
all moves as first
Analytical models
analyze after
Artificial intelligence
Computational modeling
computer go
Computer science
Computer simulation
Engines
GNU go
grandparent knowledge
Law
Monte Carlo
Monte Carlo methods
RAVE
Scientific computing
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Beschreibung
Zusammenfassung:In this paper we discuss the idea of combining old-fashioned computer Go with Monte Carlo Go. We introduce an analyze-after approach to random simulations. We also briefly present the other features of our present Monte Carlo implementation with upper confidence trees. We then explain our approach to adding this implementation as a module in the GNU Go 3.6 engine, and finally show some preliminary results of the entire work, ideas for future work and conclusions.
DOI:10.1109/SYNASC.2008.77