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AIIDE 2020 - Dragon versus Ecgberht

Two posts today, to cover the newly available Ecgberht pairings. Neither post has much meat to it.

dragon strategies versus ecgberht strategies

overall14CCBioMechGreedyFEFullMechProxyBBSProxyEightRax
overall141/150 94%28/28 100%27/28 96%25/25 100%36/44 82%25/25 100%
1rax fe5/6 83%1/1 100%1/1 100%1/1 100%2/3 67%-
bio136/144 94%27/27 100%26/27 96%24/24 100%34/41 83%25/25 100%

I was curious about Dragon’s pattern of seemingly giving up on “1rax fe” (barracks expand) after a single loss, so I looked at the file. In fact Dragon played “bio” as the regular build the whole time, throwing in “1rax fe” occasionally for spice. The “1rax fe” loss was not the last “1rax fe” game, but the second to last.

For Ecgberht, when one build is producing nearly all the wins, probably you should play it more often than 30% of the time. You may not want to play it every game, because that makes it easy for the opponent to adapt—mixing it up is good. Maybe 50% of the time would be better, given this number of alternatives? To know for sure, I guess we’d have to test against a range of bots to see the overall effectiveness of learning.

dragon as seen by ecgberht

dragon played#ecgberht recognized
1rax fe66 Unknown
bio144144 Unknown

Nothing to see here. Move along.

ecgberht as seen by dragon

Dragon does not record its idea of the opponent’s build. If it has one.

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Comments

Tully Elliston on :

Using learning to track win:loss %, and having a risk rating for each build (if win rate is above this level, don't select this build unless it has won at least 1 game against this opponent) could actually be a very useful tool.

You can throw in lots of ridiculous polarised builds, and still ensure they won't get accidentally selected when beating down a 4pool bot 100 times in a row.

At the same time, when you win rate is sub 25%, what do you have to lose by trying mad all-ins.

MarcoDBAA on :

Yes, or give these builds, you don´t want to use at first, some default pseudo-losses, so that they will only be selected after other builds fail to win.

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