Van: tony tang [mailto:[EMAIL PROTECTED] Verzonden: za 15-11-2008 21:22 Aan: [EMAIL PROTECTED] Onderwerp: [RE:computer-go] Monte carlo play?
Hello Dave, Thank you for a thorough introduction of the theory, and i sincerely hope I am not wasting your time with amateur questions. Because it was quite late when I sent the question I think I didnt word it correctly and mis-communicated my question. Being a computer scientist but new to go, i can grasp some of the theory. The question I was trying to get across was: In a game of self play, if both parties are employing only monte carlo, surely its not a good conceptual representation of a human, and if the reinforcement learning is based on random simulations wouldnt it be very weak when playing a real human? According to nick wedd and some playing around I am clearly mistaken because its works quite well. Is it because they are training(not in the neural network sense) their monte carlo based engine against another engine with prior knowledge or something of that nature? I have seen papers implementing patterns and prior knowledge with monte carlo (dated 2006) has that become a "standard" now, and when people refer to monte carlo they dont mean absolutly random? Thank you Kind regards Tony ________________________________ Read amazing stories to your kids on Messenger Try it Now! <http://clk.atdmt.com/UKM/go/117588488/direct/01/>
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