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cs.RO2022
Lazy Probabilistic Roadmaps Revisited
Miquel Ramirez, Daniel Selvaratnam, Chris Manzie
This paper describes a revision of the classic Lazy Probabilistic Roadmaps algorithm (Lazy PRM), that results from pairing PRM and a novel Branch-and-Cut (BC) algorithm. Cuts are d…
cs.AI2022★ 2 cited
Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning
Stefan O'Toole, Miquel Ramirez, Nir Lipovetzky +1
We introduce a new algorithm, Regression based Supervised Learning (RSL), for learning per instance Neural Network (NN) defined heuristic functions for classical planning problems.…