Sign inGet started
Paper · arXiv

Unsound Search with Policy and Value Networks in Legends of Code and Magic

Decision-time search in perfect and imperfect information games with enumerable belief states are effective methods for game AI. Collectible card games are imperfect information games with large belief states. Legends of Code and Magic is a collectible card game competition where the belief states are $2^{101}$. The Legends of Code and Magic (LoCM) champion, ByteRL, plays with no search. Other works claim sound enumeration-based search is unusable in the genre due to the number of belief states. We measured three previously defined properties that predict where theoretically unsound perfect information Monte Carlo's defects are cheap and found LoCM sits in the favorable region. Starting w...

AuthorsDustin Rubin
Primary categorycs.AI
Published6 September 2026
Last updated at source6 September 2026
cs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/eb4ce0f0-9414-4f64-9145-7586705b4e8d" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.