Author: Will Singleton
Date: 15:40:01 02/02/99
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On February 02, 1999 at 17:23:01, jonathan Baxter wrote: >On February 01, 1999 at 12:27:00, Will Singleton wrote: > >>This week TDChess pushed past the magic 2600 mark. Those who have been watching >>will have noted that TDChess improved in each of the last four weeks (while >>playing an average of about 450 games per week), starting at 2338 five weeks >>ago. Don't know whether this is due to program changes or the effects of TD >>lambda, perhaps Jon could enlighten us. > >Well, the rating increase is due to 3 factors: > >1: >4 weeks ago I realised I had left a compiler switch on that meant TDChess was >playing with a quiescence search that only looks at promotions. That made a big >difference. > >2: >Over Christmas, TDChess was playing with some really dumb and simple parameters >in its eval, but again about 4 weeks ago I turned on the TD learning for a >week's play and it improved dramatically and altered the parameters a lot. > >3: TD learning slows the program down by a factor of 2 because you have to pass >big structures around in the code. So I turned that off after a week (about 3 >weeks ago) and just left the *opening book* learning on. TDChess has quite a >complicated way of learning its opening book, and note that it has absolutely >zero stored games so all the openings it plays it has learnt from scratch. > Jon, Interesting. So you're saying that TD learning has been on only for about a week since TDChess started playing on ICC in December, right? Is that because you've got diminishing returns (eval params vs speed) beyond 500-600 games, or rather that you are concentrating on the book learning for now? What's the outlook for TD learning in chess? Do you anticipate much improvement, or is it rather a function of search depth? I would tend to think the latter, given the Crafty Goes Deep line of thinking. Also, I've been wondering what the changes are from KnightCap to TDChess. Will <article snipped, see previous msg)
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