Author: Dann Corbit
Date: 21:19:19 11/02/04
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On November 02, 2004 at 04:54:08, Uri Blass wrote: >I am considering to release a new free version of movei. > >The latest version has a lot of options to change personality and my guess is >that it is possible to get at least 50 elo only by changing evaluation and >search parameters(It is probably possible to get more from movei than from >programs when changing personalities were already tested more heavily like >prodeo). > >The question is if to release new free version and hope that people will give me >a personality that does significantly better or to give the version only to few >beta testers that will need to test different personalities(if there are people >who are interested). > >I am not interested in tournaments that include only one version of movei but >games at different time control with different personalities from blitz to long >time control may be productive for me. > >My question is how many testers are interested in testing different >personalities in one of the following cases: > >1)If I send it only to beta testers. >2)If I release it as a free version. > >please tell me if you are interested to test it in case 1 and in case 2 and I >will decide if to release a free version or only give beta version to people who >ask me based on the replies. Other ways to try something similar: 1. Create a driver that writes different parameter sets into the ini file for two different directories. You can do a brute force iteration, or better, do a goal seek of some kind. 2. You could do an experiment like Dave Gomboc: http://www.ict.usc.edu/~gomboc/ 3. You could do TD-Leaf learning like KnightCap http://citeseer.ist.psu.edu/183541.html I wrote a parabolic fitting model for Beowulf, that assumes parameters will have an approximately parabolic curve through their valid solution space, and finds the vertex. However, it tunes to EPD positions and plays like crap. Solves the EPD positions a lot better though.
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