Low-rank tensor decomposition of multi-task Q-functions lets related reinforcement learning tasks share data and learn faster than independent training.
Meta-learning,
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A Tensor Low-Rank Approximation for Value Functions in Multi-Task Reinforcement Learning
Low-rank tensor decomposition of multi-task Q-functions lets related reinforcement learning tasks share data and learn faster than independent training.