Exponentiated Gradient LINUCB for Contextual Multi-Armed Bandits

📝 Original Info

• Title: Exponentiated Gradient LINUCB for Contextual Multi-Armed Bandits
• ArXiv ID: 1305.2415
• Date: 2013-05-14
• Authors: Researchers from original ArXiv paper

📝 Abstract

We present Exponentiated Gradient LINUCB, an algorithm for con-textual multi-armed bandits. This algorithm uses Exponentiated Gradient to find the optimal exploration of the LINUCB. Within a deliberately designed offline simulation framework we conduct evaluations with real online event log data. The experimental results demonstrate that our algorithm outperforms surveyed algorithms.

💡 Deep Analysis

Deep Dive into Exponentiated Gradient LINUCB for Contextual Multi-Armed Bandits.

We present Exponentiated Gradient LINUCB, an algorithm for con-textual multi-armed bandits. This algorithm uses Exponentiated Gradient to find the optimal exploration of the LINUCB. Within a deliberately designed offline simulation framework we conduct evaluations with real online event log data. The experimental results demonstrate that our algorithm outperforms surveyed algorithms.

📄 Full Content

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