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Jonathan Hunt

2 accepted papers

2019

Composing Entropic Policies using Divergence Correction

ICML 2019oral

Composing skills mastered in one task to solve novel tasks promises dramatic improvements in the data efficiency of reinforcement learning. Here, we analyze two recent works composing behaviors represented in the form of action-value functions and show that they perform poorly in some situations. As…

Cited by 40SourcePDFScholar
2019

The Option Keyboard: Combining Skills in Reinforcement Learning

NeurIPS 2019poster

The ability to combine known skills to create new ones may be crucial in the solution of complex reinforcement learning problems that unfold over extended periods. We argue that a robust way of combining skills is to define and manipulate them in the space of pseudo-rewards (or "cumulants"). Based o…

Cited by 122SourcePDFScholar