Samuel Sokota

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Topics

Approximate Policy Iteration

Markov Decision Process

Reinforcement Learning

Imperfect Information

Top Venues

Publications

Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown
The Update-Equivalence Framework for Decision-Time Planning. ICLR (2024)
Samuel Sokota, Dylan Sam, Christian Schröder de Witt, Spencer Compton, Jakob N. Foerster, J. Zico Kolter
Computing Low-Entropy Couplings for Large-Support Distributions. CoRR (2024)
Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Neural Functional Transformers. NeurIPS (2023)
Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster
Adversarial Diversity in Hanabi. ICLR (2023)
Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. ICML (2023)
Christian Schröder de Witt, Samuel Sokota, J. Zico Kolter, Jakob Nicolaus Foerster, Martin Strohmeier
Perfectly Secure Steganography Using Minimum Entropy Coupling. ICLR (2023)
Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob Nicolaus Foerster
Learning Intuitive Policies Using Action Features. ICML (2023)
Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown
The Update Equivalence Framework for Decision-Time Planning. CoRR (2023)
Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Permutation Equivariant Neural Functionals. CoRR (2023)
Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games. ICLR (2023)
Yat Long Lo, Christian Schröder de Witt, Samuel Sokota, Jakob Nicolaus Foerster, Shimon Whiteson
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning. ICLR (2023)
Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Neural Functional Transformers. CoRR (2023)
Yat Long Lo, Christian Schröder de Witt, Samuel Sokota, Jakob Nicolaus Foerster, Shimon Whiteson
Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning. CoRR (2023)
Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Permutation Equivariant Neural Functionals. NeurIPS (2023)
Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. CoRR (2023)
Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games. CoRR (2022)
Samuel Sokota, Christian A. Schröder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob N. Foerster
Communicating via Markov Decision Processes. ICML (2022)
Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster
Self-Explaining Deviations for Coordination. CoRR (2022)
Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown
A Fine-Tuning Approach to Belief State Modeling. ICLR (2022)
Brandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob N. Foerster
Off-Team Learning. NeurIPS (2022)
Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster
Self-Explaining Deviations for Coordination. NeurIPS (2022)
Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob N. Foerster
Learning to Coordinate with Humans using Action Features. CoRR (2022)
Christian Schröder de Witt, Samuel Sokota, J. Zico Kolter, Jakob N. Foerster, Martin Strohmeier
Perfectly Secure Steganography Using Minimum Entropy Coupling. CoRR (2022)
Samuel Sokota, Caleb Ho, Zaheen Farraz Ahmad, J. Zico Kolter
Monte Carlo Tree Search With Iteratively Refining State Abstractions. NeurIPS (2021)
Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot
Solving Common-Payoff Games with Approximate Policy Iteration. AAAI (2021)
Samuel Sokota, Christian Schröder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Shimon Whiteson, Jakob N. Foerster
Implicit Communication as Minimum Entropy Coupling. CoRR (2021)
Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot
Solving Common-Payoff Games with Approximate Policy Iteration. CoRR (2021)
Zaheer Abbas, Samuel Sokota, Erin Talvitie, Martha White
Selective Dyna-Style Planning Under Limited Model Capacity. ICML (2020)
Zaheer Abbas, Samuel Sokota, Erin J. Talvitie, Martha White
Selective Dyna-style Planning Under Limited Model Capacity. CoRR (2020)
Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner
Simultaneous Prediction Intervals for Patient-Specific Survival Curves. CoRR (2019)
Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner
Simultaneous Prediction Intervals for Patient-Specific Survival Curves. IJCAI (2019)
Samuel Sokota, Caleb Ho, Bryce Wiedenbeck
Learning Deviation Payoffs in Simulation-Based Games. AAAI (2019)