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cs.LG2022★ 1 cited
Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks
Anton Dereventsov, Andrew Starnes, Clayton G. Webster
This effort is focused on examining the behavior of reinforcement learning systems in personalization environments and detailing the differences in policy entropy associated with t…
cs.IR2022
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets
Anton Dereventsov, Anton Bibin
We propose a method for generating simulated contextual bandit environments for personalization tasks from recommendation datasets like MovieLens, Netflix, Last.fm, Million Song, e…