Adrien Bolland

According to our database, Adrien Bolland authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

2024

Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures.

Adrien Bolland, Gaspard Lambrechts, Damien Ernst

CoRR, 2024

Costs Estimation in Unit Commitment Problems using Simulation-Based Inference.

Matthias Pirlet, Adrien Bolland, Gilles Louppe, Damien Ernst

CoRR, 2024

Reinforcement Learning for Efficient Design and Control Co-optimisation of Energy Systems.

Marine Cauz, Adrien Bolland, Nicolas Wyrsch, Christophe Ballif

CoRR, 2024

Behind the Myth of Exploration in Policy Gradients.

Adrien Bolland, Gaspard Lambrechts, Damien Ernst

CoRR, 2024

Optimal Control of Renewable Energy Communities subject to Network Peak Fees with Model Predictive Control and Reinforcement Learning Algorithms.

Samy Aittahar, Adrien Bolland, Guillaume Derval, Damien Ernst

CoRR, 2024

Informed POMDP: Leveraging Additional Information in Model-Based RL.

Gaspard Lambrechts, Adrien Bolland, Damien Ernst

RLJ, 2024

2023

Policy Gradient Algorithms Implicitly Optimize by Continuation.

Adrien Bolland, Gilles Louppe, Damien Ernst

Trans. Mach. Learn. Res., 2023

Distributional reinforcement learning with unconstrained monotonic neural networks.

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

Neurocomputing, 2023

2022

Recurrent networks, hidden states and beliefs in partially observable environments.

Gaspard Lambrechts, Adrien Bolland, Damien Ernst

Trans. Mach. Learn. Res., 2022

Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent.

Adrien Bolland, Ioannis Boukas, Mathias Berger, Damien Ernst

J. Artif. Intell. Res., 2022

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

2020

Learning optimal environments using projected stochastic gradient ascent.

Adrien Bolland, Ioannis Boukas, François Cornet, Mathias Berger, Damien Ernst

CoRR, 2020