Work

Action-outcome contingencies as the engine of open-ended learning: computational models and developmental experiments

Year: 2018

Type: conference-paper

Source: IEEE International Conference on Development and Learning (ICDL)

DOI: 10.1109/devlrn.2018.8761035

Authors: Gianluca Baldassarre, Francesco Mannella, Vieri Giuliano Santucci, Eszter Somogyi, Lisa Jacquey, Mollie Hamilton, J. Kevin O'Regan

Institutions: National Research Council, Institute of Cognitive Sciences and Technologies, University of Portsmouth, Centre National de la Recherche Scientifique, Université Paris Descartes

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: closed

Funder: European Commission

Awards: G2761885219, G434337789, Goal-based Open-ended Autonomous Learning Robots

OpenAlex ID: W2961608643

FWCI: 0.444

Cites: 36

Cited by: 9

Related to: 10