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 (BESC, 2019)

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 (ICAIF, 2021)

Solving the optimal stopping problem with reinforcement learning: an application in financial option exercise. - Leonardo Kanashiro Felizardo; Elia Yathie Matsumoto; Emilio Del-Moral-Hernandez (IJCNN, 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)

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)

Simulation-based inventory management of perishable products via linear discrete choice models. - Daniele Giovanni Gioia; Leonardo Kanashiro Felizardo; Paolo Brandimarte (Comput. Oper. Res., 2023)

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)

A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks. - Leonardo Kanashiro Felizardo; Edoardo Fadda; Paolo Brandimarte; Emilio Del-Moral-Hernandez; Mariá Cristina Vasconcelos Nascimento (CoRR, 2025)