Subjects: PESQUISA OPERACIONAL, SISTEMAS AUTÔNOMOS, NEGOCIAÇÃO, SISTEMAS MULTIAGENTES
ABNT
FELIZARDO, Leonardo Kanashiro. Exploring the boundaries of deep reinforcement learning in simulated environments: a study on financial trading and lot-sizing. 2024. Tese (Doutorado) – Universidade de São Paulo, São Paulo, 2024. Disponível em: https://www.teses.usp.br/teses/disponiveis/3/3142/tde-26082024-093343/pt-br.php. Acesso em: 19 nov. 2024.APA
Felizardo, L. K. (2024). Exploring the boundaries of deep reinforcement learning in simulated environments: a study on financial trading and lot-sizing (Tese (Doutorado). Universidade de São Paulo, São Paulo. Recuperado de https://www.teses.usp.br/teses/disponiveis/3/3142/tde-26082024-093343/pt-br.phpNLM
Felizardo LK. Exploring the boundaries of deep reinforcement learning in simulated environments: a study on financial trading and lot-sizing [Internet]. 2024 ;[citado 2024 nov. 19 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3142/tde-26082024-093343/pt-br.phpVancouver
Felizardo LK. Exploring the boundaries of deep reinforcement learning in simulated environments: a study on financial trading and lot-sizing [Internet]. 2024 ;[citado 2024 nov. 19 ] Available from: https://www.teses.usp.br/teses/disponiveis/3/3142/tde-26082024-093343/pt-br.php