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2024 ICML ICML 2024

Factored-Reward Bandits with Intermediate Observations

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Mathematics & Optimization and Reinforcement Learning

Authors

Marco Mussi, Simone Drago, Marcello Restelli, Alberto Maria Metelli

Topics

Machine Learning > Optimization & Theory > Learning Theory Reinforcement Learning > Methods > Policy Learning Mathematics & Optimization > Optimization > Online Algorithms

Keywords

bandits intermediate observation regret lower bound f-track f-ucb factored-reward
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