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Leroy Pascal

Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids

Montefiore Institute

See author's contact details
ORCID
0009-0006-2418-8273
Main Referenced Co-authors
Ernst, Damien  (5)
Louette, Arthur  (2)
Pisane, Jonathan (2)
Geurts, Pierre  (1)
Geurts, Yanis (1)
Main Referenced Keywords
Computer Science - Learning (1); Computer Science - Multiagent Systems (1); cs.SY (1); Deep Quality-Value (1); defense, drones, drone warfare, simulation, isaaclab (1);
Main Referenced Unit & Research Centers
Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège (1)
Main Referenced Disciplines
Computer science (6)

Publications (total 6)

The most downloaded
1096 downloads
Louette, A., Leroy, P., Geurts, Y., & Ernst, D. (2025). Existing Gaps In Reinforcement Learning For Drone Warfare. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/331713. https://hdl.handle.net/2268/331713

The most cited

11 citations (Scopus®)

Leroy, P., Morato, P. G., Pisane, J., Kolios, A., & Ernst, D. (2023). IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL. Advances in Neural Information Processing Systems. https://hdl.handle.net/2268/304451

Hansen, J., Louette, A., Leroy, P., & Ernst, D. (2025). Autonomous Drone Combat: A Multi-Agent Reinforcement Learning Approach. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/335358.

Louette, A., Leroy, P., Geurts, Y., & Ernst, D. (2025). Existing Gaps In Reinforcement Learning For Drone Warfare. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/331713.

Leroy, P. (2024). Contributions to Multi-agent Reinforcement Learning [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/317218

Leroy, P., Morato, P. G., Pisane, J., Kolios, A., & Ernst, D. (2023). IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL. Advances in Neural Information Processing Systems.
Peer Reviewed verified by ORBi

Leroy, P., Jonathan Pisane, & Ernst, D. (18 November 2022). Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition [Paper presentation]. Deep Reinforcement Learning Workshop, NeurIPS.
Peer reviewed

Leroy, P., Ernst, D., Geurts, P., Louppe, G., Pisane, J., & Sabatelli, M. (2021). QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning. In Proceedings of the AAAI-21 Workshop on Reinforcement Learning in Games (pp. 8).
Peer reviewed

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