MoGo: a Grid5000-based software for the Game of Go
MoGo: logiciel de Computer-Go
Contributors for TAAI 2011:
- 2012: 7 games out of 12 against professional players in 7x7 with fair setting (komi alternatively 8.5 and 9.5) against professional players; and 9 out of 12 against 6D amateur players).
- 2011: a sequence of 20 games against professional players in 7x7, with komi minimally in favor of the computer (9.5 as white, 8.5 as black; 9 is usually considered as the fair komi in 7x7 Chinese rules).
- 2011: MoGoTW wins some games against a top amateur player in Go from random positions
- 2011: MoGoTW wins 3 games (out of 4) against pros in blind 9x9 Go
- 2011: MoGoTW wins against a pro in 13x13 Go with handicap 2.5
- 2010: MoGoTW wins with H2 against 6D players in 13x13 Go
- 2010: MoGo won the ChessBase award 2009 for the biggest contribution to computer games in 2009.
- 2010: MoGo's results in Barcelona 2010: MoGo was the only Bot which won his two games in 13x13 against the 6D players with handicap 2 - this is the first time a bot wins against a 6D with handicap 2 in 13x13. ManyFaces won one out of two games in this context, and Fuego lost both games. MoGo also won a game against a 9P player as white.
- 2010: MoGoTW (version including some work by our Taiwanese colleagues) won a game as black against Fan Hui (2P) in 9x9 Go, komi 7.5. MoGo lost also a game as black and another as white - the human player was too tired for the fourth game which was scheduled. MoGo is still, to the best of our knowledge, the only program which won games as black - the most difficult setting in 9x9 Go komi 7.5; MoGo did it several times against pros, including one game against a top professional player.
- the first ever win against a pro 9p in 9x9 Go as black (agasint Zhou-Jun Xhou 9p, in Taipei, 2009) chinese audio report (National Education Radio Report) , the same in PDF , and a HTML doc here .
- 2009: MoGo's results in Taiwan Open 2009 here ; nouvelle en francais ici.
- the first ever win against a pro in 9x9 Go as black (against Catalin Taranu, 5p, in Rennes 2009) ( Video des champs-libres partiellement diffusée sur France-3)
- a handicap 7 game against a pro 9Dan (9p) player at Taiwan Open 2009; game available here (popularization papers here; radio francaise, interview par Laurent Ruquier ici )
- a handicap 6 game against a pro 1Dan (1p) player at Taiwan Open 2009; game available here" (popularization papers here; radio francaise, interview par Laurent Ruquier ici )
- a 9x9 game as white against a 2p/10Dan player at Taiwan Open 2009 ; game available here
- The Hakone GPW Cup 2008
- The 19x19 Computer Olympiads 2007
- 2008 World 9x9 Computer Go Championship in Taiwan, also opportunity for several games against humans ( popularization papers)
- One of the games against Catalin Taranu
- Two out of four 9x9 games against Motoki Noguchi in Clermont-Ferrand
- First ever win against a professional player in even game: game won against Guo Juan, Amsterdam 2007, 9x9 Go. Guo Juan won the two other games. more details
- First ever win against a professional player in even non-blitz game: game won against Catalin Taranu, Paris 2008, 9x9 Go. Catalin Taranu won the two other games. more details; some popularization papers
- In 2008 at the US Open, first ever win against a professional player in 19x19 Go: game won against Kim Myungwan, 19x19 Go, Handicap 9 (yes, Kim is stronger than MoGo, by far!). more details here
MoGo is a computer software dedicated to computer-Go. A brief video , an
excellent longer video by F. Donzet
popularization in Plein-Sud special recherche 2008.
It is based on
- European side:
- V. Neri( Lri )
- P. Dague ( Lri )
- T. Herault( Lri )
- M. Sebag( Tao )
- M. Schoenauer( Tao )
- G. Chaslot (Univ. Maastricht)
- H. Doghmen ( Tao )
- S. Gelly( Tao )
- J.B. Hoock( Tao )
- A. Rimmel( Tao )
- O. Teytaud( Tao )
- Taiwan side:
Our team also works on other applications of Monte-Carlo Tree Search.
A technical introduction here (video) .
- Monte-Carlo evaluation;
- Tree Search principles;
- High-Performance Clusters for main events.
MoGo sur Europe 1 (interview par Laurent Ruquier)
et dans 20 minutes (un peu pas clair...).
MoGo sur Radio Suisse Romande ici .
MoGo sur "The Guardian" ici .
MoGo sur "Sciences et Vie" ici .
MoGo sur "Le Monde" ici .
MoGo sur "Micro Hebdo" ici .
Dans beaucoup d'autres (notamment en Asie), j'ai perdu le compte...
- Famous 19x19 games:
- Famous 9x9 games
- 9x9 games organized on August 26th, 2008, by the National University of Tainan:
- The only 9x9 game won against Catalin Taranu (out of three games). Using a cluster provided by Bull; game organized by Recitsproque and the French Federation of Go. More information here.
- Success story
- Contacts (all comments welcome!):
- Jean-Yves Audibert
- Guillaume Chaslot
- Louis Chatriot
- Hassen Doghmen (firstname.lastname@example.org)
- Christophe Fiter
- Sylvain Gelly (we will try not to disturb him any more with MoGo, as he now works here )
- Jean-Baptiste Hoock
- Remi Munos (the one who had the idea of plugging UCT in Monte-Carlo Go, as far as I remember (?) )
- Julien Perez
- Arpad Rimmel
- Fabien Teytaud
- Olivier Teytaud (email@example.com)
- Yizao Wang (who developped the very successful random player)
- Remi Coulom provided many important informations for the development of MoGo (cf CrazyStone).
- Parallel-people: Thomas Herault, Vincent Danjean, Grid'5000, Ziqin Yu.
- KGS-people, Cgos-people, computer-go-mailing-list-people, Tao, Linux.
- For MoGoTW: people from various Taiwan universities, including Shi-Jim Yen, Chang-Shing Lee, Mei-Hui Wang, and others!
- Binary only for the moment . Examples of use:
- mogo --9 --nbTotalSimulations 5000 --pondering 1
- mogo --13 --nbTotalSimulations 5000 --pondering 0
- mogo --19 --nbTotalSimulations 5000 --pondering 1 --nbThreads 8
- Contact for a cvs-access: firstname.lastname@example.org