Sokota, Samuel

20 publications

UAI 2024 Computing Low-Entropy Couplings for Large-Support Distributions Samuel Sokota, Dylan Sam, Christian Witt, Spencer Compton, Jakob Foerster, J. Zico Kolter
ICLR 2024 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 2023 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
ICML 2023 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
ICLR 2023 Adversarial Diversity in Hanabi Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J Wu, Jakob Nicolaus Foerster
ICLR 2023 Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning Yat Long Lo, Christian Schroeder de Witt, Samuel Sokota, Jakob Nicolaus Foerster, Shimon Whiteson
ICML 2023 Learning Intuitive Policies Using Action Features Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob Nicolaus Foerster
NeurIPS 2023 Neural Functional Transformers Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
ICLR 2023 Perfectly Secure Steganography Using Minimum Entropy Coupling Christian Schroeder de Witt, Samuel Sokota, J Zico Kolter, Jakob Nicolaus Foerster, Martin Strohmeier
NeurIPS 2023 Permutation Equivariant Neural Functionals Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn
ICLR 2022 A Fine-Tuning Approach to Belief State Modeling Samuel Sokota, Hengyuan Hu, David J Wu, J Zico Kolter, Jakob Nicolaus Foerster, Noam Brown
NeurIPSW 2022 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
ICML 2022 Communicating via Markov Decision Processes Samuel Sokota, Christian A Schroeder De Witt, Maximilian Igl, Luisa M Zintgraf, Philip Torr, Martin Strohmeier, Zico Kolter, Shimon Whiteson, Jakob Foerster
NeurIPS 2022 Off-Team Learning Brandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob Foerster
NeurIPS 2022 Self-Explaining Deviations for Coordination Hengyuan Hu, Samuel Sokota, David Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob Foerster
NeurIPS 2021 Monte Carlo Tree Search with Iteratively Refining State Abstractions Samuel Sokota, Caleb Y Ho, Zaheen Ahmad, J. Zico Kolter
AAAI 2021 Solving Common-Payoff Games with Approximate Policy Iteration Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot
ICML 2020 Selective Dyna-Style Planning Under Limited Model Capacity Zaheer Abbas, Samuel Sokota, Erin Talvitie, Martha White
AAAI 2019 Learning Deviation Payoffs in Simulation-Based Games Samuel Sokota, Caleb Ho, Bryce Wiedenbeck
IJCAI 2019 Simultaneous Prediction Intervals for Patient-Specific Survival Curves Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner