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Showing papers from CMU, Strategy Robot, Optimized Markets, Strategic Machine Show all papers

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Follow the Regularized Leader Does Not Converge in Constrained Optimization

Ioannis Anagnostides, Ioannis Panageas, Nikolas Patris, Tuomas Sandholm

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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1/20 AI panelreviewers recommend it

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AI panel: 1 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 1/5
69%Highly rated
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Incremental Multiple Oracle

An incremental multiple-oracle framework computes approximate continuous-action game equilibria with constant memory via fixed-cardinality strategy sets without exact global best responses.

Carlos Martin, Tuomas Sandholm

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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3/20 AI panelreviewers recommend it

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AI panel: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
strict 0/5
74%Highly rated
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Watermarking Game-Playing Agents in Perfect-Information Extensive-Form Games

Adapted LLM watermarking embeds detectable hidden signals into game-playing agents in perfect-information games, bounding utility loss and enabling rapid statistical detection with minimal quality degradation.

Juho Kim, Fei Fang, Tuomas Sandholm

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5