101 citations · 168 across the 18 of their papers we have counts for
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cs.RO2019
A Lexicographic Search Method for Multi-Objective Motion Planning
Tixiao Shan, Brendan Englot
We propose a novel method for multi-objective motion planning problems by leveraging the paradigm of lexicographic optimization and applying it for the first time to graph search o…
cs.LG2019
Stochastically Dominant Distributional Reinforcement Learning
John D. Martin, Michal Lyskawinski, Xiaohu Li +1
We describe a new approach for managing aleatoric uncertainty in the Reinforcement Learning (RL) paradigm. Instead of selecting actions according to a single statistic, we propose…