most citedImportance Weighted Transfer of Samples in Reinforcement Learning

26 citations · 26 across the 1 of their papers we have counts for

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cs.LG2018★ 26 cited

Importance Weighted Transfer of Samples in Reinforcement Learning

Andrea Tirinzoni, Andrea Sessa, Matteo Pirotta +1

We consider the transfer of experience samples (i.e., tuples < s, a, s', r >) in reinforcement learning (RL), collected from a set of source tasks to improve the learning process i…