I am a PhD student in the Machine Learning Department at Carnegie Mellon University supervised by Zico Kolter. Previously, I did a master’s at the University of Alberta. Before that, I did undergraduate at Swarthmore College, where I played lacrosse and studied mathematics and physics.

The best way to reach me is at ssokota(at)andrew(dot)cmu(dot)edu.

Selected Research

Reevaluating Policy Gradient Methods for Imperfect-Information Games
Max Rudolph*, Nathan Lichtle*, Sobhan Mohammadpour*, Alexandre Bayen, J. Zico Kolter, Amy Zhang, Gabriele Farina, Eugene Vinitsky, Samuel Sokota
Paper    Thread    Exploitability Package    Code    Games Demo

Computing Low-Entropy Couplings for Large-Support Distributions
Samuel Sokota, Dylan Sam, Christian Schroeder de Witt, Spencer Compton, Jakob Foerster, J. Zico Kolter
UAI 2024
Paper    Thread    Code   

The Update-Equivalence Framework for Decision-Time Planning
Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown
ICLR 2024
Paper    Thread   

Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
Samuel Sokota, Ryan D’Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown
ICML 2023
Paper    Thread   

A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
Samuel Sokota*, Ryan D’Orazio*, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer
ICLR 2023
Paper    Thread    Talk    Sequence-Form Code    Behavioral-Form Code   

Perfectly Secure Steganography Using Minimum-Entropy Coupling
Christian Schroeder de Witt*, Samuel Sokota*, J. Zico Kolter, Jakob Foerster, Martin Strohmeier
ICLR 2023
Paper    Original Code    Updated Code   

Communicating via Markov Decision Processes
Samuel Sokota*, Christian Schroeder de Witt*, Maximilian Igl, Luisa Zintgraf, Philip Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob Foerster
ICML 2022
Paper    Code   

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