Coevolving Partial Strategies for the Game of Go
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[1] A. E. Eiben,et al. Introduction to Evolutionary Computing , 2003, Natural Computing Series.
[2] Rémi Coulom,et al. Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search , 2006, Computers and Games.
[3] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[4] Richard K. Belew,et al. Methods for Competitive Co-Evolution: Finding Opponents Worth Beating , 1995, ICGA.
[5] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[6] David Silver,et al. Combining online and offline knowledge in UCT , 2007, ICML '07.
[7] Richard K. Belew,et al. Coevolutionary search among adversaries , 1997 .
[8] T. Cazenave,et al. On the Parallelization of UCT , 2007 .
[9] Thomas Wolf,et al. Optimizing GoTools' Search Heuristics using Genetic Algorithms , 2003, J. Int. Comput. Games Assoc..
[10] Risto Miikkulainen,et al. Evolving a Roving Eye for Go , 2004, GECCO.
[11] Alastair Channon,et al. The N-Strikes-Out Algorithm: A Steady-State Algorithm for Coevolution , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[12] Bruno Bouzy,et al. Computer Go: An AI oriented survey , 2001, Artif. Intell..
[13] Helmut A. Mayer,et al. Coevolution of neural Go players in a cultural environment , 2005, 2005 IEEE Congress on Evolutionary Computation.
[14] John R. Koza,et al. Genetic programming 2 - automatic discovery of reusable programs , 1994, Complex Adaptive Systems.
[15] J. Pollack,et al. Coevolutionary dynamics in a minimal substrate , 2001 .
[16] Annie S. Wu,et al. Empirical Studies of the Genetic Algorithm with Noncoding Segments , 1995, Evolutionary Computation.
[17] Elwyn R. Berlekamp,et al. Mathematical Go - chilling gets the last point , 1994 .
[18] Csaba Szepesvári,et al. Bandit Based Monte-Carlo Planning , 2006, ECML.
[19] Nir Oren,et al. Evolving Neural Networks for the Capture Game , 2002 .
[20] Peter Lewis,et al. MOVE ORDERING VS HEAVY PLAYOUTS : WHERE SHOULD HEURISTICS BE APPLIED IN MONTE CARLO GO ? , 2007 .
[21] C. Thain. Way to go. , 2000, Nursing standard (Royal College of Nursing (Great Britain) : 1987).