ComputerGo

Aus GoVB

(Unterschied zwischen Versionen)
Wechseln zu: Navigation, Suche
(Links)
(Monte Carlo Tree Search)
Zeile 25: Zeile 25:
  
 
=== Monte Carlo Tree Search ===
 
=== Monte Carlo Tree Search ===
* [http://www.lri.fr/~gelly/paper/SylvainGellyThesis.pdf PHD: A CONTRIBUTION TO REINFORCEMENT LEARNING; APPLICATION TO COMPUTER-GO]
+
* [http://www.lri.fr/~gelly/paper/SylvainGellyThesis.pdf PHD: A CONTRIBUTION TO REINFORCEMENT LEARNING; APPLICATION TO COMPUTER-GO (SYLVAIN GELLY)]
* [http://www.lri.fr/~teytaud/eg.pdf Combining expert, offline, transient and online knowledge in Monte-Carlo exploration]
+
* [http://www.lri.fr/~teytaud/eg.pdf Combining expert, offline, transient and online knowledge in Monte-Carlo exploration (Chaslot et.al)]
* [http://www.personeel.unimaas.nl/G-chaslot/papers/newMath.pdf PROGRESSIVE STRATEGIES FOR MONTE-CARLO TREE SEARCH]
+
* [http://www.personeel.unimaas.nl/G-chaslot/papers/newMath.pdf PROGRESSIVE STRATEGIES FOR MONTE-CARLO TREE SEARCH (Chaslot et.al)]
* [http://www.personeel.unimaas.nl/G-chaslot/papers/crossmcICGA.pdf CROSS-ENTROPY FOR MONTE-CARLO TREE SEARCH]
+
* [http://www.personeel.unimaas.nl/G-chaslot/papers/crossmcICGA.pdf CROSS-ENTROPY FOR MONTE-CARLO TREE SEARCH (Chaslot et.al)]
* [http://www.csse.uwa.edu.au/cig08/Proceedings/papers/8016.pdf Combining Final Score with Winning Percentage by Sigmoid Function in Monte-Carlo Simulations]
+
* [http://www.csse.uwa.edu.au/cig08/Proceedings/papers/8016.pdf Combining Final Score with Winning Percentage by Sigmoid Function in Monte-Carlo Simulations (SHIBAHARA, KOTANI)]
* [http://www.althofer.de/mc-laziness.pdf On the Laziness of Monte-Carlo Game Tree Search in Non-tight Situations]
+
* [http://www.althofer.de/mc-laziness.pdf On the Laziness of Monte-Carlo Game Tree Search in Non-tight Situations (Ingo Althofer)]
* [http://eprints.pascal-network.org/archive/00004571/01/8057.pdf Transpositions and Move Groups in Monte Carlo Tree Search]
+
* [http://eprints.pascal-network.org/archive/00004571/01/8057.pdf Transpositions and Move Groups in Monte Carlo Tree Search (Benjamin E. Childs et.al)]
* [http://www.inference.phy.cam.ac.uk/ph347/CPGS-Report_Hennig.pdf Monte Carlo Temperature Discovery Search for Combinatorial Games]
+
* [http://www.inference.phy.cam.ac.uk/ph347/CPGS-Report_Hennig.pdf Monte Carlo Temperature Discovery Search for Combinatorial Games (Philipp Hennig)]
* [http://remi.coulom.free.fr/CG2006/CG2006.pdf Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search]
+
* [http://remi.coulom.free.fr/CG2006/CG2006.pdf Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search (Rémi Coulom, Crazy Stones)]
* [http://remi.coulom.free.fr/Amsterdam2007/MMGoPatterns.pdf Computing Elo Ratings of Move Patterns in the Game of Go]
+
* [http://remi.coulom.free.fr/Amsterdam2007/MMGoPatterns.pdf Computing Elo Ratings of Move Patterns in the Game of Go (Rémi Coulom, Crazy Stones)]
* [http://pasky.or.cz/~pasky/go/compgo-r2.pdf Current Approaches in Computer Go]
+
* [http://pasky.or.cz/~pasky/go/compgo-r2.pdf Current Approaches in Computer Go (Slides) (Petr Baudis)]
  
 
==== Parallelisierung ====
 
==== Parallelisierung ====
* [http://www.personeel.unimaas.nl/m-winands/documents/multithreadedMCTS2.pdf Parallel Monte-Carlo Tree Search]
+
* [http://www.personeel.unimaas.nl/m-winands/documents/multithreadedMCTS2.pdf Parallel Monte-Carlo Tree Search (Chaslot et.al)]
* [http://www.geocities.jp/hideki_katoh/publications/gpw08-private.pdf Parallel Monte-Carlo Tree Search with Simulation Servers]
+
* [http://www.geocities.jp/hideki_katoh/publications/gpw08-private.pdf Parallel Monte-Carlo Tree Search with Simulation Servers (KATO, TAKEUCHI)]
* [http://hal.archives-ouvertes.fr/docs/00/28/78/67/PDF/icin08.pdf THE PARALLELIZATION OF MONTE-CARLO PLANNING]
+
* [http://hal.archives-ouvertes.fr/docs/00/28/78/67/PDF/icin08.pdf THE PARALLELIZATION OF MONTE-CARLO PLANNING (S. Gelly et.al)]
  
 
=== Other ===
 
=== Other ===

Version vom 27. Februar 2010, 20:00 Uhr

Inhaltsverzeichnis

Computer-Go am HPI

Ideensammlung zum Computer-Go-Seminar des HPI

ToDos

  • Ausarbeitung der Gruppenaufteilung
    • verschiedene Themen der Gruppen?
    • konkurrierende Gruppen?
  • Anforderungen an die Teilnehmer definieren
  • Hardware-Anforderungen definieren
  • Literatur zusammentragen
  • Basic-Player evaluieren
  • SVN organisieren
  • Mailingliste einrichten
  • Kooperation mit anderen Lehrstühlen klären
  • sourceforge projekt? -> open source?

Eckpunkte

  • 6 - 10 Teilnehmer

Literatur

(Auszug aus den Veröffentlichungen der letzten Jahre)

Monte Carlo Tree Search

Parallelisierung

Other

Basicplayer

Links

online spielen

Community

andere Player

something else

Meine Werkzeuge
Ansichten