222 citations · 600 across the 46 of their papers we have counts for
5 papers · 1 filter
Risk-Sensitive Policy with Distributional Reinforcement Learning
Thibaut Théate, Damien Ernst
Classical reinforcement learning (RL) techniques are generally concerned with the design of decision-making policies driven by the maximisation of the expected outcome. Nevertheles…
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition
Pascal Leroy, Jonathan Pisane, Damien Ernst
In this paper, we identify the best learning scenario to train a team of agents to compete against multiple possible strategies of opposing teams. We evaluate cooperative value-bas…
Recurrent networks, hidden states and beliefs in partially observable environments
Gaspard Lambrechts, Adrien Bolland, Damien Ernst
Reinforcement learning aims to learn optimal policies from interaction with environments whose dynamics are unknown. Many methods rely on the approximation of a value function to d…
Optimal Connection Phase Selection of Residential Distributed Energy Resources and its Impact on Aggregated Demand
Amina Benzerga, Alireza Bahmanyar, Damien Ernst
The recent major increase in decentralized energy resources (DERs) such as photovoltaic (PV) panels alters the loading profile of distribution systems (DS) and impacts higher volta…
Churn prediction in online gambling
Florian Merchie, Damien Ernst
In business retention, churn prevention has always been a major concern. This work contributes to this domain by formalizing the problem of churn prediction in the context of onlin…