164 citations · 415 across the 5 of their papers we have counts for
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cs.LG2019★ 10 cited
Hierarchical Policy Learning is Sensitive to Goal Space Design
Zach Dwiel, Madhavun Candadai, Mariano Phielipp +1
Hierarchy in reinforcement learning agents allows for control at multiple time scales yielding improved sample efficiency, the ability to deal with long time horizons and transfera…
cs.AI2019★ 2 cited
Generalization to Novel Objects using Prior Relational Knowledge
Varun Kumar Vijay, Abhinav Ganesh, Hanlin Tang +1
To solve tasks in new environments involving objects unseen during training, agents must reason over prior information about those objects and their relations. We introduce the Pri…