most citedPEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making

20 citations · 30 across the 6 of their papers we have counts for

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cs.LG2019★ 1 cited

Interpretable Automated Machine Learning in Maana(TM) Knowledge Platform

Alexander Elkholy, Fangkai Yang, Steven Gustafson

Machine learning is becoming an essential part of developing solutions for many industrial applications, but the lack of interpretability hinders wide industry adoption to rapidly…

cs.LG2018★ 20 cited

PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making

Fangkai Yang, Daoming Lyu, Bo Liu +1

Reinforcement learning and symbolic planning have both been used to build intelligent autonomous agents. Reinforcement learning relies on learning from interactions with real world…