Learning Shared Representations for Multi-Task Linear Bandits
Learning Shared Representations for Multi-Task Linear Bandits explores A theoretical framework for multi-task linear bandits that improves sample efficiency by learning shared low-rank representations.. Commercial viability score: 2/10 in Reinforcement Learning.
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