11 citations · 22 across the 5 of their papers we have counts for
Showing 2019Show all
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cs.LG2019★ 6 cited
Disentangled Cumulants Help Successor Representations Transfer to New Tasks
Christopher Grimm, Irina Higgins, Andre Barreto +5
Biological intelligence can learn to solve many diverse tasks in a data efficient manner by re-using basic knowledge and skills from one task to another. Furthermore, many of such…
cs.LG2019★ 3 cited
Learning Independently-Obtainable Reward Functions
Christopher Grimm, Satinder Singh
We present a novel method for learning a set of disentangled reward functions that sum to the original environment reward and are constrained to be independently obtainable. We def…