most citedSampling from Pre-Images to Learn Heuristic Functions for Classical Planning

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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.…

cs.AI2021

Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark

Stefan O'Toole, Nir Lipovetzky, Miquel Ramirez +1

We propose new width-based planning and learning algorithms inspired from a careful analysis of the design decisions made by previous width-based planners. The algorithms are appli…