Adrien Bolland

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Partially Observable Environments

Gradient Ascent

Reinforcement Learning

Model Predictive Control

Top Venues

Trans. Mach. Learn. Res.

J. Artif. Intell. Res.

Publications

Marine Cauz, Adrien Bolland, Nicolas Wyrsch, Christophe Ballif
Reinforcement Learning for Efficient Design and Control Co-optimisation of Energy Systems. CoRR (2024)
Adrien Bolland, Gaspard Lambrechts, Damien Ernst
Behind the Myth of Exploration in Policy Gradients. CoRR (2024)
Samy Aittahar, Adrien Bolland, Guillaume Derval, Damien Ernst
Optimal Control of Renewable Energy Communities subject to Network Peak Fees with Model Predictive Control and Reinforcement Learning Algorithms. CoRR (2024)
Adrien Bolland, Gilles Louppe, Damien Ernst
Policy Gradient Algorithms Implicitly Optimize by Continuation. Trans. Mach. Learn. Res. 2023 (2023)
Adrien Bolland, Gilles Louppe, Damien Ernst
Policy Gradient Algorithms Implicitly Optimize by Continuation. CoRR (2023)
Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst
Distributional reinforcement learning with unconstrained monotonic neural networks. Neurocomputing 534 (2023)
Gaspard Lambrechts, Adrien Bolland, Damien Ernst
Informed POMDP: Leveraging Additional Information in Model-Based RL. CoRR (2023)
Adrien Bolland, Ioannis Boukas, Mathias Berger, Damien Ernst
Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent. J. Artif. Intell. Res. 73 (2022)
Gaspard Lambrechts, Adrien Bolland, Damien Ernst
Recurrent networks, hidden states and beliefs in partially observable environments. Trans. Mach. Learn. Res. 2022 (2022)
Gaspard Lambrechts, Adrien Bolland, Damien Ernst
Recurrent networks, hidden states and beliefs in partially observable environments. 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)
Adrien Bolland, Ioannis Boukas, François Cornet, Mathias Berger, Damien Ernst
Learning optimal environments using projected stochastic gradient ascent. 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)