From Reinforcement Learning Towards Artificial General Intelligence

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2020

Autores

Filipe Marinho Rocha (Autor) Outra; Luís Paulo Reis (Autor) FEUP

Ata de Conferência Internacional

Título: WorldCIST (2)

Páginas: 401-413

8th World Conference on Information Systems and Technologies, WorldCIST 2020

7 April 2020 through 10 April 2020

Indexação

Scopus - 4 Citações

INSPEC

Outras Informações

ID Authenticus: P-00S-APS

DOI: 10.1007/978-3-030-45691-7_37

Abstract (EN): The present work surveys research that integrates successfully a number of complementary fields in Artificial Intelligence. Starting from integrations in Reinforcement Learning: Deep Reinforcement Learning and Relational Reinforcement Learning, we then present Neural-Symbolic Learning and Reasoning since it is applied to Deep Reinforcement Learning. Finally, we present integrations in Deep Reinforcement Learning, such as, Relational Deep Reinforcement Learning. We propose that this road is breaking through barriers in Reinforcement Learning and making us closer to Artificial General Intelligence, and we share views about the current challenges to get us further towards this goal. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 13