Adrien Bolland

22 papers Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gym-TORAX: Open-source software for integrating reinforcement learning with plasma control simulators in tokamak research. Softw. Impacts Antoine Mouchamps, Arthur Malherbe, Adrien Bolland, Damien Ernst
2026	J	`jnl`	Maximum-Entropy Exploration with Future State-Action Visitation Measures. CoRR Adrien Bolland, Gaspard Lambrechts, Damien Ernst
2025	J	`jnl`	Gym-TORAX: Open-source software for integrating RL with plasma control simulators. CoRR Antoine Mouchamps, Arthur Malherbe, Adrien Bolland, Damien Ernst
2025	—	`—`	Reimagining Exploration: Theoretical Insights and Practical Advancements in Policy Gradient Methods. Adrien Bolland
2025	J	`jnl`	SecuLEx: a Secure Limit Exchange Market for Dynamic Operating Envelopes. CoRR Maurizio Vassallo, Adrien Bolland, Alireza Bahmanyar, Louis Wehenkel, Laurine Duchesne, Dong Liu, Sania Khaskheli, Alexis Ha Thuc, Pedro P. Vergara, Amjad Anvari-Moghaddam, Simon Gerard, Damien Ernst
2024	J	`jnl`	Behind the Myth of Exploration in Policy Gradients. CoRR Adrien Bolland, Gaspard Lambrechts, Damien Ernst
2024	J	`jnl`	Costs Estimation in Unit Commitment Problems using Simulation-Based Inference. CoRR Matthias Pirlet, Adrien Bolland, Gilles Louppe, Damien Ernst
2024	J	`jnl`	Informed POMDP: Leveraging Additional Information in Model-Based RL. RLJ Gaspard Lambrechts, Adrien Bolland, Damien Ernst
2024	J	`jnl`	Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures. CoRR Adrien Bolland, Gaspard Lambrechts, Damien Ernst
2024	J	`jnl`	Optimal Control of Renewable Energy Communities subject to Network Peak Fees with Model Predictive Control and Reinforcement Learning Algorithms. CoRR Samy Aittahar, Adrien Bolland, Guillaume Derval, Damien Ernst
2024	J	`jnl`	Reinforcement Learning for Efficient Design and Control Co-optimisation of Energy Systems. CoRR Marine Cauz, Adrien Bolland, Nicolas Wyrsch, Christophe Ballif
2023	J	`jnl`	Distributional reinforcement learning with unconstrained monotonic neural networks. Neurocomputing Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst
2023	J	`jnl`	Informed POMDP: Leveraging Additional Information in Model-Based RL. CoRR Gaspard Lambrechts, Adrien Bolland, Damien Ernst
2023	J	`jnl`	Policy Gradient Algorithms Implicitly Optimize by Continuation. CoRR Adrien Bolland, Gilles Louppe, Damien Ernst
2023	J	`jnl`	Policy Gradient Algorithms Implicitly Optimize by Continuation. Trans. Mach. Learn. Res. Adrien Bolland, Gilles Louppe, Damien Ernst
2022	J	`jnl`	Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent. J. Artif. Intell. Res. Adrien Bolland, Ioannis Boukas, Mathias Berger, Damien Ernst
2022	J	`jnl`	Recurrent networks, hidden states and beliefs in partially observable environments. CoRR Gaspard Lambrechts, Adrien Bolland, Damien Ernst
2022	J	`jnl`	Recurrent networks, hidden states and beliefs in partially observable environments. Trans. Mach. Learn. Res. Gaspard Lambrechts, Adrien Bolland, Damien Ernst
2021	J	`jnl`	A deep reinforcement learning framework for continuous intraday market bidding. Mach. Learn. Ioannis Boukas, Damien Ernst, Thibaut Théate, Adrien Bolland, Alexandre Huynen, Martin Buchwald, Christelle Wynants, Bertrand Cornélusse
2021	J	`jnl`	Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks. CoRR Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst
2020	J	`jnl`	A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding. CoRR Ioannis Boukas, Damien Ernst, Thibaut Théate, Adrien Bolland, Alexandre Huynen, Martin Buchwald, Christelle Wynants, Bertrand Cornélusse
2020	J	`jnl`	Learning optimal environments using projected stochastic gradient ascent. CoRR Adrien Bolland, Ioannis Boukas, François R. J. Cornet, Mathias Berger, Damien Ernst