most citedProvable Benefit of Multitask Representation Learning in Reinforcement Learning

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2022★ 2 cited

Provable Benefit of Multitask Representation Learning in Reinforcement Learning

Yuan Cheng, Songtao Feng, Jing Yang +2

As representation learning becomes a powerful technique to reduce sample complexity in reinforcement learning (RL) in practice, theoretical understanding of its advantage is still…