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Author

T. Sandholm

3 papers indexed here

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#machine learning Preprint Oct 2026

Normal-Form Correlation in Markov Games

There has been a surge of recent work on correlated equilibrium concepts in Markov games. However, existing results focus on concepts weaker than normal-form correlated equilibria (NFCEs), leaving open the more challenging question of computing such equilibria, which goes back to the seminal work of Papadimitriou and R...

I. Anagnostides, Constantinos Daskalakis, Gabriele Farina et al. · 0 citations
Jul 2026

Distributed Constraint Optimization via Online Learning and Iterative Pricing with Application to Large-Scale Satellite Scheduling

Distributed constraint optimization problems (DCOPs) provide a popular framework for distributed decision making under limited communication, but many real-world instances are too large to solve monolithically. We address this challenge from two complementary directions. We revisit the connection between DCOPs and pote...

Itai Zilberstein, Pranav Rajbhandari, Steve A. Chien et al. · 0 citations
#artificial intelligence Preprint Jul 2026

Preference Elicitation for Policy Optimization and Application to Aligning Heart Transplantation with Human Values

A novel preference elicitation algorithm for linear utilities that outperforms prior techniques in practice and is applied to heart transplant allocation where a policy must balance competing objectives such as post-transplant outcomes, waitlist mortality, geographic ease, and equity.

Itai Zilberstein, I. Anagnostides, Zachary W. Sollie et al. · 0 citations

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