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Found 4 papers, 3 papers with code
AdaptEx: A Self-Service Contextual Bandit Platform
This paper presents AdaptEx, a self-service contextual bandit platform widely used at Expedia Group, that leverages multi-armed bandit algorithms to personalize user experiences at scale.
Action Advising with Advice Imitation in Deep Reinforcement Learning
Action advising is a peer-to-peer knowledge exchange technique built on the teacher-student paradigm to alleviate the sample inefficiency problem in deep reinforcement learning.
Learning on a Budget via Teacher Imitation
However, due to the realistic concerns, the number of these interactions is limited with a budget; therefore, it is crucial to perform these in the most appropriate moments.
Student-Initiated Action Advising via Advice Novelty
Action advising is a budget-constrained knowledge exchange mechanism between teacher-student peers that can help tackle exploration and sample inefficiency problems in deep reinforcement learning (RL).
