12 citations · 22 across the 5 of their papers we have counts for
9 papers
Generalized Planning as Heuristic Search: A new planning search-space that leverages pointers over objects
Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
Planning as heuristic search is one of the most successful approaches to classical planning but unfortunately, it does not extend trivially to Generalized Planning (GP). GP aims to…
Scaling-up Generalized Planning as Heuristic Search with Landmarks
Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson +1
Landmarks are one of the most effective search heuristics for classical planning, but largely ignored in generalized planning. Generalized planning (GP) is usually addressed as a c…
Approximate Novelty Search
Anubhav Singh, Nir Lipovetzky, Miquel Ramirez +1
Width-based search algorithms seek plans by prioritizing states according to a suitably defined measure of novelty, that maps states into a set of novelty categories. Space and tim…
Generalized Planning as Heuristic Search
Javier Segovia-Aguas, Sergio Jiménez, Anders Jonsson
Although heuristic search is one of the most successful approaches to classical planning, this planning paradigm does not apply straightforwardly to Generalized Planning (GP). Plan…
Leveraging Multiple Environments for Learning and Decision Making: a Dismantling Use Case
Alejandro Suárez-Hernández, Thierry Gaugry, Javier Segovia-Aguas +4
Learning is usually performed by observing real robot executions. Physics-based simulators are a good alternative for providing highly valuable information while avoiding costly an…
STRIPS Action Discovery
Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras +1
The problem of specifying high-level knowledge bases for planning becomes a hard task in realistic environments. This knowledge is usually handcrafted and is hard to keep updated,…