Understanding Sample Generation Strategies for Learning Heuristic Functions in Classical Planning

R. V. Bettker, P. P. Minini, A. G. Pereira +1

We study the problem of learning good heuristic functions for classical planning tasks with neural networks based on samples represented by states with their cost-to-goal estimates…