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Assessing Policy, Loss and Planning Combinations in Reinforcement Learning Using a New Modular Architecture

AuthID
P-00X-6Z3

Author(s)

Oliveira, TG

Oliveira, AL

Editor(es)

Marreiros,G;Martins,B;Paiva,A;Ribeiro,B;Sardinha,A

Tipo de Documento

Proceedings Paper

Year published

2022

Publicado

in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2022 in Lecture Notes in Artificial Intelligence, ISSN: 0302-9743

Volume: 13566, Páginas: 427-439 (13)

Conference

21St Epia Conference on Artificial Intelligence (Epia), Date: AUG 31-SEP 02, 2022, Location: Univ Lisbon, Lisbon, PORTUGAL, Patrocinadores: EPIA, Host: Univ Lisbon

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Dblp^®/pt/publications/view/957411

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Publication Identifiers

DOI: 10.1007/978-3-031-16474-3_35

DBLP: conf/epia/OliveiraO22

Wos: WOS:000869745400035

Source Identifiers

ISSN: 0302-9743

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Assessing Policy, Loss and Planning Combinations in Reinforcement Learning Using a New Modular Architecture

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Assessing Policy, Loss and Planning Combinations in Reinforcement Learning Using a New Modular Architecture

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