2 citations · 4 across the 6 of their papers we have counts for
4 papers · 1 filter
Generalized Planning for the Abstraction and Reasoning Corpus
Chao Lei, Nir Lipovetzky, Krista A. Ehinger
The Abstraction and Reasoning Corpus (ARC) is a general artificial intelligence benchmark that poses difficulties for pure machine learning methods due to its requirement for fluid…
Diverse, Top-k, and Top-Quality Planning Over Simulators
Lyndon Benke, Tim Miller, Michael Papasimeon +1
Diverse, top-k, and top-quality planning are concerned with the generation of sets of solutions to sequential decision problems. Previously this area has been the domain of classic…
Lifted Sequential Planning with Lazy Constraint Generation Solvers
Anubhav Singh, Miquel Ramirez, Nir Lipovetzky +1
This paper studies the possibilities made open by the use of Lazy Clause Generation (LCG) based approaches to Constraint Programming (CP) for tackling sequential classical planning…
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.…