21 citations · 32 across the 3 of their papers we have counts for
4 papers
A Data-Centric Behavioral Machine Learning Platform to Reduce Health Inequalities
Dexian Tang, Guillem Francès, África Periáñez
Providing front-line health workers in low- and middle- income countries with recommendations and predictions to improve health outcomes can have a tremendous impact on reducing he…
Learning General Policies from Small Examples Without Supervision
Guillem Francès, Blai Bonet, Hector Geffner
Generalized planning is concerned with the computation of general policies that solve multiple instances of a planning domain all at once. It has been recently shown that these pol…
Learning Features and Abstract Actions for Computing Generalized Plans
Blai Bonet, Guillem Francès, Hector Geffner
Generalized planning is concerned with the computation of plans that solve not one but multiple instances of a planning domain. Recently, it has been shown that generalized plans c…
Combined Task and Motion Planning as Classical AI Planning
Jonathan Ferrer-Mestres, Guillem Francès, Hector Geffner
Planning in robotics is often split into task and motion planning. The high-level, symbolic task planner decides what needs to be done, while the motion planner checks feasibility…