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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Artificial Intelligence in Games
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

925 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
925 works in the cohort · of 4,299,418page 2 of 19

Labels cover 0 of 925 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 925 of 925 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
The games computers (and people) play
Jonathan Schaeffer
2000· book-chapter· en· Advances in computers· Computer Science
machine prediction:candidate · noneconsensus · none
54
citations
affunlabeled
Learning from multiple heuristics
Mehdi Samadi, Ariel Felner, Jonathan Schaeffer
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
53
citations
affunlabeled
A Practical Use of Imperfect Recall
Kevin Waugh, Martin Zinkevich, Michael Johanson, Morgan Kan, David Schnizlein, Michael Bowling
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
53
citations
affunlabeled
HOGO: Hide Objects Game Optimization
Mohammad Dehghani, Zeinab Montazeri, Shahrzad Saremi, Ali Dehghani, O.P. Malik, Kamal Al-Haddad +1 more
2020· article· en· International journal of intelligent engineering and systems· Computer Science
machine prediction:candidate · noneconsensus · none
53
citations
afffundunlabeled
Heads-up limit hold'em poker is solved
Michael Bowling, Neil Burch, Michael Johanson, Oskari Tammelin
2017· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
49
citations
affunlabeled
Bootstrapping from Game Tree Search
Joel Veness, David Silver, Alan Blair, William W. Cohen
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
48
citations
affno abstractunlabeled
The one-round Voronoi game replayed
Sándor P. Fekete, Henk Meijer
2004· article· en· Computational Geometry· Computer Science
machine prediction:candidate · noneconsensus · none
47
citations
affunlabeled
Solving checkers
Jonathan Schaeffer, Yngvi Björnsson, Neil Burch, Akihiro Kishimoto, Miroslav Uller, Robert W. Lake +2 more
2005· article· en· International Joint Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
46
citations
afffundunlabeled
Solving Games with Functional Regret Estimation
Kevin Waugh, Dustin Morrill, J. Andrew Bagnell, Michael Bowling
2015· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
44
citations
afffundunlabeled
Dynamic Control in Real-Time Heuristic Search
Vadim Bulitko, Mitja Luštrek, Jonathan Schaeffer, Yngvi Björnsson, Sverrir Sigmundarson
2008· article· en· Journal of Artificial Intelligence Research· Computer Science
machine prediction:candidate · noneconsensus · none
43
citations
affunlabeled
Online implicit agent modelling
Nolan Bard, Michael Johanson, Neil Burch, Michael Bowling
2013· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
42
citations
affunlabeled
TBA*: time-bounded A*
Yngvi Björnsson, Vadim Bulitko, Nathan Sturtevant
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
41
citations
affno abstractunlabeled
Building the Checkers 10-Piece Endgame Databases
Jonathan Schaeffer, Yngvi Björnsson, Neil Burch, Robert W. Lake, P. Lu, Steve Sutphen
2004· book-chapter· en· Advances in Computer Games· Computer Science
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Fuzzy logic in agent-based game design
Yifan Li, Petr Musı́lek, L. Wyard-Scott
2004· article· en· IEEE Annual Meeting of the Fuzzy Information, 2004. Processing NAFIPS '04.· Computer Science
machine prediction:candidate · noneconsensus · none
37
citations
aboutno affunlabeled
MOHEX Wins Hex Tournament
Ryan Hayward
2012· article· en· ICGA Journal· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Game level layout from design specification
Chongyang Ma, Nicholas Vining, Sylvain Lefèbvre, Alla Sheffer
2014· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations
affno abstractunlabeled
MoHex 2.0: A Pattern-Based MCTS Hex Player
Shih-Chieh Huang, Broderick Arneson, Ryan Hayward, Martin Müller, Jakub Pawlewicz
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
35
citations
affunlabeled
The First MicroRTS Artificial Intelligence Competition
Santiago Ontañón, Nicolas A. Barriga, Cleyton R. Silva, Rubens O. Moraes, Levi H. S. Lelis
2018· article· en· AI Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
35
citations
affunlabeled
Generalized amazons is PSPACE-complete
Timothy Furtak, Masashi Kiyomi, Takeaki Uno, Michael Buro
2005· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Predicting Army Combat Outcomes in StarCraft
Marius Stănescu, Sergio Poo Hernandez, Graham Erickson, Russel Greiner, Michael Buro
2013· article· en· Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations

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