15 citations · 21 across the 6 of their papers we have counts for
6 papers
One-Step Distributional Reinforcement Learning
Mastane Achab, Reda Alami, Yasser Abdelaziz Dahou Djilali +2
Reinforcement learning (RL) allows an agent interacting sequentially with an environment to maximize its long-term expected return. In the distributional RL (DistrRL) paradigm, the…
Regularization of the policy updates for stabilizing Mean Field Games
Talal Algumaei, Ruben Solozabal, Reda Alami +3
This work studies non-cooperative Multi-Agent Reinforcement Learning (MARL) where multiple agents interact in the same environment and whose goal is to maximize the individual retu…
Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes
Reda Alami, Mohammed Mahfoud, Eric Moulines
We consider the problem of learning in a non-stationary reinforcement learning (RL) environment, where the setting can be fully described by a piecewise stationary discrete-time Ma…
pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research
Gonzague Henri, Tanguy Levent, Avishai Halev +2
Microgrids, self contained electrical grids that are capable of disconnecting from the main grid, hold potential in both tackling climate change mitigation via reducing CO2 emissio…
Decentralized Exploration in Multi-Armed Bandits -- Extended version
Raphaël Féraud, Réda Alami, Romain Laroche
We consider the decentralized exploration problem: a set of players collaborate to identify the best arm by asynchronously interacting with the same stochastic environment. The obj…
Toward An Uncertainty Principle For Weighted Graphs
Bastien Pasdeloup, Réda Alami, Vincent Gripon +1
The uncertainty principle states that a signal cannot be localized both in time and frequency. With the aim of extending this result to signals on graphs, Agaskar&Lu introduce noti…