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Mitigating Filter Bubbles within Deep Recommender Systems
Recommender systems, which offer personalized suggestions to users, power many of today's social media, e-commerce and entertainment.
Alice's Adventures in the Markovian World
This paper proposes an algorithm Alice having no access to the physics law of the environment, which is actually linear with stochastic noise, and learns to make decisions directly online without a training phase or a stable policy as initial input.
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