98 citations · 127 across the 10 of their papers we have counts for
3 papers · 1 filter
Computing Programs for 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). This…
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…
State Representation Learning for Goal-Conditioned Reinforcement Learning
Lorenzo Steccanella, Anders Jonsson
This paper presents a novel state representation for reward-free Markov decision processes. The idea is to learn, in a self-supervised manner, an embedding space where distances be…