Notwithstanding the important advances in Artificial Intelligence (AI) and robotics, artificial agents still lack the necessary autonomy and versatility to properly interact with realistic environments. This requires agents to face situations that are unknown at design time, to autonomously discover multiple goals/tasks, and to be endowed with learning processes able to solve multiple tasks incrementally and online.
Intrinsically Motivated Open-Ended Learning in Autonomous Robots
Santucci Vieri Giuliano
Primo
;Baldassarre Gianluca
2020
Abstract
Notwithstanding the important advances in Artificial Intelligence (AI) and robotics, artificial agents still lack the necessary autonomy and versatility to properly interact with realistic environments. This requires agents to face situations that are unknown at design time, to autonomously discover multiple goals/tasks, and to be endowed with learning processes able to solve multiple tasks incrementally and online.File in questo prodotto:
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SantucciEtAl_FrontiersEditorial.pdf
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Descrizione: Santucci VG, Oudeyer P-Y, Barto A and Baldassarre G (2020) Editorial: Intrinsically Motivated Open-Ended Learning in Autonomous Robots. Front. Neurorobot. 13:115. doi: 10.3389/fnbot.2019.00115
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