3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2019★ 1 cited
Object-oriented state editing for HRL
Victor Bapst, Alvaro Sanchez-Gonzalez, Omar Shams +4
We introduce agents that use object-oriented reasoning to consider alternate states of the world in order to more quickly find solutions to problems. Specifically, a hierarchical c…
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…