Showing cs.LGShow all
3 papers · 1 filter
cs.LG2025
Gym-TORAX: Open-source software for integrating reinforcement learning with plasma control simulators in tokamak research
Antoine Mouchamps, Arthur Malherbe, Adrien Bolland +1
This paper presents Gym-TORAX, a Python package enabling the implementation of Reinforcement Learning (RL) environments for simulating plasma dynamics and control in tokamaks. User…
cs.LG2024
Cost Estimation in Unit Commitment Problems Using Simulation-Based Inference
Matthias Pirlet, Adrien Bolland, Gilles Louppe +1
The Unit Commitment (UC) problem is a key optimization task in power systems to forecast the generation schedules of power units over a finite time period by minimizing costs while…
cs.LG2024
Behind the Myth of Exploration in Policy Gradients
Adrien Bolland, Gaspard Lambrechts, Damien Ernst
In order to compute near-optimal policies with policy-gradient algorithms, it is common in practice to include intrinsic exploration terms in the learning objective. Although the e…