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20172024
most citedExamining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks

1 citations · 1 across the 7 of their papers we have counts for

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math.OC2024

Anisotropic Gaussian Smoothing for Gradient-based Optimization

Andrew Starnes, Guannan Zhang, Viktor Reshniak +1

This article introduces a novel family of optimization algorithms - Anisotropic Gaussian Smoothing Gradient Descent (AGS-GD), AGS-Stochastic Gradient Descent (AGS-SGD), and AGS-Ada…

cs.IR2024

Mamba for Scalable and Efficient Personalized Recommendations

Andrew Starnes, Clayton Webster

In this effort, we propose using the Mamba for handling tabular data in personalized recommendation systems. We present the \textit{FT-Mamba} (Feature Tokenizer\,\,Mamba), a nov…