4 citations · 6 across the 11 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
cs.AI2022
Option Discovery for Autonomous Generation of Symbolic Knowledge
Gabriele Sartor, Davide Zollo, Marta Cialdea Mayer +3
In this work we present an empirical study where we demonstrate the possibility of developing an artificial agent that is capable to autonomously explore an experimental scenario.…
cs.LG2022
Autonomous Open-Ended Learning of Tasks with Non-Stationary Interdependencies
Alejandro Romero, Gianluca Baldassarre, Richard J. Duro +1
Autonomous open-ended learning is a relevant approach in machine learning and robotics, allowing the design of artificial agents able to acquire goals and motor skills without the…