48 citations · 74 across the 9 of their papers we have counts for
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cs.RO2022★ 5 cited
A Conflict-driven Interface between Symbolic Planning and Nonlinear Constraint Solving
Joaquim Ortiz-Haro, Erez Karpas, Michael Katz +1
Robotic planning in real-world scenarios typically requires joint optimization of logic and continuous variables. A core challenge to combine the strengths of logic planners and co…
cs.LG2022
Reinforced Meta Active Learning
Michael Katz, Eli Kravchik
In stream-based active learning, the learning procedure typically has access to a stream of unlabeled data instances and must decide for each instance whether to label it and use i…
cs.AI2022★ 1 cited
Hierarchical Reinforcement Learning with AI Planning Models
Junkyu Lee, Michael Katz, Don Joven Agravante +4
Two common approaches to sequential decision-making are AI planning (AIP) and reinforcement learning (RL). Each has strengths and weaknesses. AIP is interpretable, easy to integrat…