Samuel Sokota | DeepAI

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∙ 05/22/2023

Neural Functional Transformers

The recent success of neural networks as implicit representation of data...

0 Allan Zhou, et al. ∙

∙ 04/25/2023

The Update Equivalence Framework for Decision-Time Planning

The process of revising (or constructing) a policy immediately prior to ...

0 Samuel Sokota, et al. ∙

∙ 03/19/2023

Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning

By enabling agents to communicate, recent cooperative multi-agent reinfo...

1 Yat Long Lo, et al. ∙

∙ 02/27/2023

Permutation Equivariant Neural Functionals

This work studies the design of neural networks that can process the wei...

0 Allan Zhou, et al. ∙

∙ 01/22/2023

Abstracting Imperfect Information Away from Two-Player Zero-Sum Games

In their seminal work, Nayyar et al. (2013) showed that imperfect inform...

0 Samuel Sokota, et al. ∙

∙ 10/24/2022

Perfectly Secure Steganography Using Minimum Entropy Coupling

Steganography is the practice of encoding secret information into innocu...

6 Christian Schroeder de Witt, et al. ∙

∙ 06/12/2022

A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games

Algorithms designed for single-agent reinforcement learning (RL) general...

14 Samuel Sokota, et al. ∙

∙ 01/29/2022

Learning to Coordinate with Humans using Action Features

An unaddressed challenge in human-AI coordination is to enable AI agents...

0 Mingwei Ma, et al. ∙

∙ 07/17/2021

Implicit Communication as Minimum Entropy Coupling

In many common-payoff games, achieving good performance requires players...

3 Samuel Sokota, et al. ∙

∙ 01/11/2021

Solving Common-Payoff Games with Approximate Policy Iteration

For artificially intelligent learning systems to have widespread applica...

0 Samuel Sokota, et al. ∙

∙ 07/05/2020

Selective Dyna-style Planning Under Limited Model Capacity

In model-based reinforcement learning, planning with an imperfect model ...

3 Muhammad Zaheer, et al. ∙

∙ 06/25/2019

Simultaneous Prediction Intervals for Patient-Specific Survival Curves

Accurate models of patient survival probabilities provide important info...

2 Samuel Sokota, et al. ∙

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