About Me

I am a postdoctoral researcher working on deep reinforcement learning with applications to the renewable-energy transition at the University of Liège.

Selected Publications

  • Off-policy maximum entropy RL with future state and action visitation measures

    Adrien Bolland, Gaspard Lambrechts, Damien Ernst
    Preprint, 2025

  • Informed POMDP : leveraging additional information in model-based RL

    Gaspard Lambrechts, Adrien Bolland, Damien Ernst
    Reinforcement Learning Conference, 2024

  • Behind the myth of exploration in policy gradients

    Adrien Bolland, Gaspard Lambrechts, Damien Ernst
    Preprint, 2024

  • Policy gradient algorithms implicitly optimize by continuation

    Adrien Bolland, Gilles Louppe, Damien Ernst
    Transactions on Machine Learning Research, 2023

  • Jointly learning environments and control policies with projected stochastic gradient ascent

    Adrien Bolland, Ioannis Boukas, Mathias Berger, Damien Ernst
    Journal of Artificial Intelligence Research, 2022

  • 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
    Machine Learning, 2021

    • Find more on Google Scholar

    Presentations

  • Introduction to Gradient-Based Direct Policy Search

  • Advanced Policy-Gradient Algorithms

  • Reinforcement Learning for Sizing and Operation

  • Reimagining Exploration: Theoretical Insights and Practical Advancements in Policy Gradient Methods

    • Teaching

  • Energy markets and regulation

  • Reinforcement learning

  • Introduction to numerical optimization