Leonardo Kanashiro Felizardo

According to our database, Leonardo Kanashiro Felizardo authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Reinforcement learning approaches for the stochastic discrete lot-sizing problem on parallel machines.

Leonardo Kanashiro Felizardo, Edoardo Fadda, Emilio Del-Moral-Hernandez, Paolo Brandimarte

Expert Syst. Appl., 2024

2023

Simulation-based inventory management of perishable products via linear discrete choice models.

Daniele Giovanni Gioia, Leonardo Kanashiro Felizardo, Paolo Brandimarte

Comput. Oper. Res., September, 2023

2022

Outperforming algorithmic trading reinforcement learning systems: A supervised approach to the cryptocurrency market.

Leonardo Kanashiro Felizardo, Francisco Caio Lima Paiva, Catharine de Vita Graves, Elia Yathie Matsumoto, Anna Helena Reali Costa, Emilio Del-Moral-Hernandez, Paolo Brandimarte

Expert Syst. Appl., 2022

Reinforcement Learning Applied to Trading Systems: A Survey.

Leonardo Kanashiro Felizardo, Francisco Caio Lima Paiva, Anna Helena Reali Costa, Emilio Del-Moral-Hernandez

CoRR, 2022

Solving the optimal stopping problem with reinforcement learning: an application in financial option exercise.

Leonardo Kanashiro Felizardo, Elia Yathie Matsumoto, Emilio Del-Moral-Hernandez

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Intelligent trading systems: a sentiment-aware reinforcement learning approach.

Francisco Caio Lima Paiva, Leonardo Kanashiro Felizardo, Reinaldo Augusto da Costa Bianchi, Anna Helena Reali Costa

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2019

Comparative study of Bitcoin price prediction using WaveNets, Recurrent Neural Networks and other Machine Learning Methods.

Leonardo Kanashiro Felizardo, Roberth Oliveira, Emilio Del-Moral-Hernandez, Fábio Gagliardi Cozman

Proceedings of the 6th International Conference on Behavioral, 2019