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Conference and Workshop Papers
- 2024
[c18]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- 2023
- [c17]Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David J. Wu, Jakob Nicolaus Foerster:
Adversarial Diversity in Hanabi. ICLR 2023 - [c16]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 - [c15]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 - [c14]Christian Schröder de Witt, Samuel Sokota, J. Zico Kolter, Jakob Nicolaus Foerster, Martin Strohmeier:
Perfectly Secure Steganography Using Minimum Entropy Coupling. ICLR 2023 - [c13]Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob Nicolaus Foerster:
Learning Intuitive Policies Using Action Features. ICML 2023: 23358-23372 - [c12]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: 32169-32193 - [c11]Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Permutation Equivariant Neural Functionals. NeurIPS 2023 - [c10]Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Neural Functional Transformers. NeurIPS 2023 - 2022
- [c9]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 - [c8]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: 20314-20328 - [c7]Brandon Cui, Hengyuan Hu, Andrei Lupu, Samuel Sokota, Jakob N. Foerster:
Off-Team Learning. NeurIPS 2022 - [c6]Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster:
Self-Explaining Deviations for Coordination. NeurIPS 2022 - 2021
- [c5]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: 9695-9703 - [c4]Samuel Sokota, Caleb Ho, Zaheen Farraz Ahmad, J. Zico Kolter:
Monte Carlo Tree Search With Iteratively Refining State Abstractions. NeurIPS 2021: 18698-18709 - 2020
- [c3]Zaheer Abbas, Samuel Sokota, Erin Talvitie, Martha White:
Selective Dyna-Style Planning Under Limited Model Capacity. ICML 2020: 1-10 - 2019
- [c2]Samuel Sokota, Caleb Ho, Bryce Wiedenbeck:
Learning Deviation Payoffs in Simulation-Based Games. AAAI 2019: 2173-2180 - [c1]Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner:
Simultaneous Prediction Intervals for Patient-Specific Survival Curves. IJCAI 2019: 5975-5981
Informal and Other Publications
- 2024
- [i14]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 abs/2405.19540 (2024) - 2023
- [i13]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 abs/2301.09159 (2023) - [i12]Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Permutation Equivariant Neural Functionals. CoRR abs/2302.14040 (2023) - [i11]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 abs/2303.10733 (2023) - [i10]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 abs/2304.13138 (2023) - [i9]Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Neural Functional Transformers. CoRR abs/2305.13546 (2023) - 2022
- [i8]Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob N. Foerster:
Learning to Coordinate with Humans using Action Features. CoRR abs/2201.12658 (2022) - [i7]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 abs/2206.05825 (2022) - [i6]Hengyuan Hu, Samuel Sokota, David J. Wu, Anton Bakhtin, Andrei Lupu, Brandon Cui, Jakob N. Foerster:
Self-Explaining Deviations for Coordination. CoRR abs/2207.12322 (2022) - [i5]Christian Schröder de Witt, Samuel Sokota, J. Zico Kolter, Jakob N. Foerster, Martin Strohmeier:
Perfectly Secure Steganography Using Minimum Entropy Coupling. CoRR abs/2210.14889 (2022) - 2021
- [i4]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 abs/2101.04237 (2021) - [i3]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 abs/2107.08295 (2021) - 2020
- [i2]Zaheer Abbas, Samuel Sokota, Erin J. Talvitie, Martha White:
Selective Dyna-style Planning Under Limited Model Capacity. CoRR abs/2007.02418 (2020) - 2019
- [i1]Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner:
Simultaneous Prediction Intervals for Patient-Specific Survival Curves. CoRR abs/1906.10780 (2019)
Coauthor Index
aka: Jakob Nicolaus Foerster
aka: Christian A. Schröder de Witt
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