Samuel Sokota

According to our database, Samuel Sokota authored at least 21 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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

CoRR, 2023

Permutation Equivariant Neural Functionals.

Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn

CoRR, 2023

Neural Functional Transformers.

Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Permutation Equivariant Neural Functionals.

Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the International Conference on Machine Learning, 2023

Learning Intuitive Policies Using Action Features.

Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob Nicolaus Foerster

Proceedings of the International Conference on Machine Learning, 2023

Perfectly Secure Steganography Using Minimum Entropy Coupling.

Christian Schröder de Witt, Samuel Sokota, J. Zico Kolter, Jakob Nicolaus Foerster, Martin Strohmeier

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning.

Yat Long Lo, Christian Schröder de Witt, Samuel Sokota, Jakob Nicolaus Foerster, Shimon Whiteson

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Adversarial Diversity in Hanabi.

Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning to Coordinate with Humans using Action Features.

Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob N. Foerster

CoRR, 2022

Self-Explaining Deviations for Coordination.

Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Off-Team Learning.

Brandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob N. Foerster

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Communicating via Markov Decision Processes.

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

Proceedings of the International Conference on Machine Learning, 2022

A Fine-Tuning Approach to Belief State Modeling.

Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Implicit Communication as Minimum Entropy Coupling.

Samuel Sokota, Christian Schröder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Shimon Whiteson, Jakob N. Foerster

CoRR, 2021

Monte Carlo Tree Search With Iteratively Refining State Abstractions.

Samuel Sokota, Caleb Ho, Zaheen Farraz Ahmad, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Selective Dyna-Style Planning Under Limited Model Capacity.

Zaheer Abbas, Samuel Sokota, Erin Talvitie, Martha White

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Simultaneous Prediction Intervals for Patient-Specific Survival Curves.

Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Deviation Payoffs in Simulation-Based Games.

Samuel Sokota, Caleb Ho, Bryce Wiedenbeck

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019