Thibaut Théate

According to our database, Thibaut Théate authored at least 5 papers between 2020 and 2023.

Collaborative distances:

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

2023

Risk-Sensitive Policy with Distributional Reinforcement Learning.

Thibaut Théate, Damien Ernst

Algorithms, July, 2023

Distributional reinforcement learning with unconstrained monotonic neural networks.

Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst

Neurocomputing, 2023

2021

A deep reinforcement learning framework for continuous intraday market bidding.

Ioannis Boukas, Damien Ernst, Thibaut Théate, Adrien Bolland, Alexandre Huynen, Martin Buchwald, Christelle Wynants, Bertrand Cornélusse

Mach. Learn., 2021

An application of deep reinforcement learning to algorithmic trading.

Thibaut Théate, Damien Ernst

Expert Syst. Appl., 2021

2020

An Artificial Intelligence Solution for Electricity Procurement in Forward Markets.

Thibaut Théate, Sébastien Mathieu, Damien Ernst

CoRR, 2020