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Adrien Bolland

According to our database1, Adrien Bolland authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures.
[BibTeX]
[DOI]
Adrien Bolland
,
Gaspard Lambrechts
,
Damien Ernst
CoRR, 2024

Costs Estimation in Unit Commitment Problems using Simulation-Based Inference.
[BibTeX]
[DOI]
Matthias Pirlet
,
Adrien Bolland
,
Gilles Louppe
,
Damien Ernst
CoRR, 2024

Reinforcement Learning for Efficient Design and Control Co-optimisation of Energy Systems.
[BibTeX]
[DOI]
Marine Cauz
,
Adrien Bolland
,
Nicolas Wyrsch
,
Christophe Ballif
CoRR, 2024

Behind the Myth of Exploration in Policy Gradients.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
Samy Aittahar
,
Adrien Bolland
,
Guillaume Derval
,
Damien Ernst
CoRR, 2024

Informed POMDP: Leveraging Additional Information in Model-Based RL.
[BibTeX]
Gaspard Lambrechts
,
Adrien Bolland
,
Damien Ernst
RLJ, 2024

2023
Policy Gradient Algorithms Implicitly Optimize by Continuation.
[BibTeX]
[DOI]
Adrien Bolland
,
Gilles Louppe
,
Damien Ernst
Trans. Mach. Learn. Res., 2023

Distributional reinforcement learning with unconstrained monotonic neural networks.
[BibTeX]
[DOI]
Thibaut Théate
,
Antoine Wehenkel
,
Adrien Bolland
,
Gilles Louppe
,
Damien Ernst
Neurocomputing, 2023

2022
Recurrent networks, hidden states and beliefs in partially observable environments.
[BibTeX]
[DOI]
Gaspard Lambrechts
,
Adrien Bolland
,
Damien Ernst
Trans. Mach. Learn. Res., 2022

Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent.
[BibTeX]
[DOI]
Adrien Bolland
,
Ioannis Boukas
,
Mathias Berger
,
Damien Ernst
J. Artif. Intell. Res., 2022

2021
A deep reinforcement learning framework for continuous intraday market bidding.
[BibTeX]
[DOI]
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.
[BibTeX]
[DOI]
Adrien Bolland
,
Ioannis Boukas
,
François Cornet
,
Mathias Berger
,
Damien Ernst
CoRR, 2020


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