activity
20182023
most citedAutonomous discovery of the goal space to learn a parameterized skill

11 citations · 16 across the 11 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.AI2019★ 1 cited

Intrinsic motivations and open-ended learning

Gianluca Baldassarre

There is a growing interest and literature on intrinsic motivations and open-ended learning in both cognitive robotics and machine learning on one side, and in psychology and neuro…

cs.AI2019

A Neurocomputational Account of Flexible Goal-directed Cognition and Consciousness: The Goal-Aligning Representation Internal Manipulation Theory (GARIM)

Giovanni Granato, Gianluca Baldassarre

Goal-directed manipulation of representations is a key element of human flexible behaviour, while consciousness is often related to several aspects of higher-order cognition and hu…

cs.AI2019

Learning High-Level Planning Symbols from Intrinsically Motivated Experience

Angelo Oddi, Riccardo Rasconi, Emilio Cartoni +3

In symbolic planning systems, the knowledge on the domain is commonly provided by an expert. Recently, an automatic abstraction procedure has been proposed in the literature to cre…

cs.LG2019

Autonomous Reinforcement Learning of Multiple Interrelated Tasks

Vieri Giuliano Santucci, Gianluca Baldassarre, Emilio Cartoni

Autonomous multiple tasks learning is a fundamental capability to develop versatile artificial agents that can act in complex environments. In real-world scenarios, tasks may be in…

cs.AI2019

Autonomous Open-Ended Learning of Interdependent Tasks

Vieri Giuliano Santucci, Emilio Cartoni, Bruno Castro da Silva +1

Autonomy is fundamental for artificial agents acting in complex real-world scenarios. The acquisition of many different skills is pivotal to foster versatile autonomous behaviour a…