25 citations · 25 across the 1 of their papers we have counts for
2 papers
cs.LG2024
Deep reinforcement learning for weakly coupled MDP's with continuous actions
Francisco Robledo, Urtzi Ayesta, Konstantin Avrachenkov
This paper introduces the Lagrange Policy for Continuous Actions (LPCA), a reinforcement learning algorithm specifically designed for weakly coupled MDP problems with continuous ac…
astro-ph.CO2022★ 25 cited
Machine Learning methods to estimate observational properties of galaxy clusters in large volume cosmological N-body simulations
Daniel de Andres, Gustavo Yepes, Federico Sembolini +5
In this paper we study the applicability of a set of supervised machine learning (ML) models specifically trained to infer observed related properties of the baryonic component (st…