Starcraft AI blog

The Locutusoids have learning data only slightly different from Steamhammer’s. I have run my summarizer code for CSE, BlueBlueSky, Locutus, and ISAMind, skipping DaQin because it recorded only 1 game per opponent (which tickles a bug in my code). I am thinking of posting only the Locutus results, because the others don’t hold much extra interest. Locutus plays a wider range of openings than the others (perhaps because newer bots have to restrict their scope). CSE in particular is more in the do-one-thing-well camp. Besides, all of them had high win rates against lower-ranked opponents; they did not have much to learn. I don’t see a point in piling up data about similar players.

But if people want, I can post them all. Any requests?

Locutus is the only Locutusoid to use pre-learned data. Some of the others had their own ways of preparing for known opponents. For example, CSE is configured with several enemy-specific strategies, such as DT drop against #9 Iron.

Here is a summary of the pre-learned data used by Locutus. Locutus is configured to retain at most 200 game records per opponent, so that’s as much pre-learned data as it makes sense to give it. When you give it that much, each tournament game record added at the end causes one pre-learned record to scroll off the beginning. At the end of a 100 round tournament, half the game records are retained from the pre-learned data and half are tournament games—the pre-learned data more or less dominated tournament data for decisions during the tournament.

Here is the final data. For every opponent that has pre-learned data, much or all of the per-learned data is retained until the end.