Author: Manuel Rodriguez Blanco
Date: 09:55:02 01/13/01
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On January 12, 2001 at 22:46:33, Bas Hamstra wrote: >Within a few days I will put a new version of Tao 5.5 on Frank's web site. There >have been several small improvements, resulting in an ELO improvement of exactly >50.00 points. The main difference is that it uses evaluation learning based on >Temporal Difference. With all parameters set to zero it quickly learns how to >improve the most important eval terms, and play better chess. In my opinion >however, it is not able to set all terms to optimal values within a reasonable >amount of time. Judge it yourself, you can let it learn from zero, or you can >turn learning of and tweak the weights manually. So far, it seems best to start >with a good guess and hand-tweak the few terms it does not seem to learn (or >learns too slow). Having learning turned on has no performance penalty. > >The main differences with the previous version are: > >- Temporal Difference learning (can be scaled from 1000 to zero = off) >- More accurate repetion detection >- Better tactics (290 WAC within 5 sec) >- Eval changes to let it play more interestingly and actively >- Eval parameters user settable >- More accurate PV's (less half PV's that end in the hash table) >- Improved search efficiency >- Some changes and additions to the evaluation > >I have not hand tuned the eval weights for a long time, like in the previous >version. Therefore the eval is sometimes over-optimistic and maybe not totally >balanced. But still, IMO, it plays very interesting attacking active REAL chess. >I have not had time to test it at very long time controls. > >Have fun! >Bas. HI, work under Fritz6?, if yes, where i can get this engine, thanks MRB.
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