Thibaut Théate

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 9

Top Topics

Reinforcement Learning

Markov Decision Processes

Function Approximation

Top Venues

Expert Syst. Appl.

Publications

Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst
Distributional reinforcement learning with unconstrained monotonic neural networks. Neurocomputing 534 (2023)
Thibaut Théate, Damien Ernst
Risk-Sensitive Policy with Distributional Reinforcement Learning. Algorithms 16 (7) (2023)
Thibaut Théate, Damien Ernst
Risk-Sensitive Policy with Distributional Reinforcement Learning. CoRR (2022)
Ioannis Boukas, Damien Ernst, Thibaut Théate, Adrien Bolland, Alexandre Huynen, Martin Buchwald, Christelle Wynants, Bertrand Cornélusse
A deep reinforcement learning framework for continuous intraday market bidding. Mach. Learn. 110 (9) (2021)
Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst
Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks. CoRR (2021)
Thibaut Théate, Damien Ernst
An application of deep reinforcement learning to algorithmic trading. Expert Syst. Appl. 173 (2021)
Thibaut Théate, Sébastien Mathieu, Damien Ernst
An Artificial Intelligence Solution for Electricity Procurement in Forward Markets. CoRR (2020)
Ioannis Boukas, Damien Ernst, Thibaut Théate, Adrien Bolland, Alexandre Huynen, Martin Buchwald, Christelle Wynants, Bertrand Cornélusse
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding. CoRR (2020)
Thibaut Théate, Damien Ernst
An Application of Deep Reinforcement Learning to Algorithmic Trading. CoRR (2020)