This happens because most MCTS engines assign the same value (reward) to a
terminal board state regardless of the margin: e.g. 1 point for a win and 0
points for a loss.  Thus, my program would pick a move that has an
estimated 75% chance of winning by an average of 0.5 points over one that
has an estimated 74% chance of winning by 1.5 points.  One could change
this behavior by assigning a higher reward to a winning board state with a
larger margin, but then a competent player could draw the computer into
making very risky moves that appear to potentially have a huge payoff.

Woody


On Fri, May 31, 2013 at 6:34 AM, Detlef Schmicker <d...@physik.de> wrote:

> **
> Hi,
>
> I think some mc bots play small margin games to the end now. Humans like
> that. Before one of the bots resigned....
>
> Sometimes there is a weight of the margin in the evaluation: this leads to
> winning with higher margin than 0.5. This is probably again to be nice to
> humans and not playing
> too bad moves at the end. Dynamic komi has a simelar effect.
>
> Detlef
>
> Am Freitag, den 31.05.2013, 12:27 +0200 schrieb "Ingo Althöfer":
>
> Hello,
> especially in the early years of Monte-Carlo Go it
> was often observed in games between MC(TS)-bots and humans
> that bots won by the smallest possible margin, 0.5 points.
> We all know that this is not a bug but a feature ;-)
>
> For a long time it was my impression that this phenomenon
> was typcial only for bots-vs-humans, but not for
> MC-bots vs. MC-bots. But now experiments with other games
> make me believe that wins by small margins happen often also
> for MC-bots against each other.
>
> Who has experiences or explanations for this (in Go)?
>
> Ingo.
>
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