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Damien Ernst — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Damien Ernst
16
papers ·
4
citations ·
39
h-index
Télécom Paris · University of Liège · Montefiore Hospital · Laboratoire Traitement et Communication de l’Information
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Most-cited papers
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning
2020 · 2 citations
Recurrent networks, hidden states and beliefs in partially observable environments
2022 · 1 citations
Policy Gradient Algorithms Implicitly Optimize by Continuation
2023 · 1 citations
Maximum-Entropy Exploration with Future State-Action Visitation Measures
2026
How to craft a deep reinforcement learning policy for wind farm flow control
2025
Investigating the Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem
2025
A Theoretical Justification for Asymmetric Actor-Critic Algorithms
2025
Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours
2018
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding
2020
Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent
2020
Sparse Training Theory for Scalable and Efficient Agents
2021
Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks
2021
Risk-Sensitive Policy with Distributional Reinforcement Learning
2022
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
2023
Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures
2024
Top co-authors
Adrien Bolland
· 7
Gaspard Lambrechts
· 4
Gilles Louppe
· 3
Antoine Wehenkel
· 2
Ioannis Boukas
· 2
Jonathan Pisane
· 2
Thibaut Théate
· 2
Aditya Mahajan
· 1
Alexandre Huynen
· 1
Athanasios Kolios
· 1
Bertrand Corn\'elusse
· 1
Christelle Wynants
· 1
Topics
Value-Based
Exploration
Model-Based RL
Policy Gradient
Multi-Agent
Offline RL
Safe RL
Meta-RL
Game AI