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20182026
most citedThe Utility of Sparse Representations for Control in Reinforcement Learning

8 citations · 18 across the 14 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.LG2019

Incrementally Learning Functions of the Return

Brendan Bennett, Wesley Chung, Muhammad Zaheer +1

Temporal difference methods enable efficient estimation of value functions in reinforcement learning in an incremental fashion, and are of broader interest because they correspond…

cs.LG2019★ 1 cited

Recurrent Control Nets for Deep Reinforcement Learning

Vincent Liu, Ademi Adeniji, Nathaniel Lee +2

Central Pattern Generators (CPGs) are biological neural circuits capable of producing coordinated rhythmic outputs in the absence of rhythmic input. As a result, they are responsib…