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Sampling from Pre-Images to Learn Heuristic Functions for Classical Planning
We introduce a new algorithm, Regression based Supervised Learning (RSL), for learning per instance Neural Network (NN) defined heuristic functions for classical planning problems.
Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark
We propose new width-based planning and learning algorithms inspired from a careful analysis of the design decisions made by previous width-based planners.
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