Monte-Carlo Go Developments
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[1] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[2] Ronald L. Rivest,et al. Game Tree Searching by Min/Max Approximation , 1987, Artif. Intell..
[3] Bruce Abramson,et al. Expected-Outcome: A General Model of Static Evaluation , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Bernd Brügmann Max-Planck. Monte Carlo Go , 1993 .
[5] Ronald L. Wasserstein,et al. Monte Carlo: Concepts, Algorithms, and Applications , 1997 .
[6] Andreas Junghanns,et al. Are there Practical Alternatives to Alpha-Beta? , 1998, J. Int. Comput. Games Assoc..
[7] Ken Chen,et al. Static Analysis of Life and Death in the Game of Go , 1999, Inf. Sci..
[8] Bruno Bouzy,et al. Computer Go: An AI oriented survey , 2001, Artif. Intell..
[9] Jonathan Schaeffer,et al. The challenge of poker , 2002, Artif. Intell..
[10] Brian Sheppard,et al. World-championship-caliber Scrabble , 2002, Artif. Intell..
[11] Gerald Tesauro,et al. Programming backgammon using self-teaching neural nets , 2002, Artif. Intell..
[12] David Fotland. Static Eye Analysis in "The Many Faces of Go" , 2002, J. Int. Comput. Games Assoc..
[13] Bruno Bouzy. The Move-Decision Strategy of Indigo , 2003, J. Int. Comput. Games Assoc..