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2020 – today
- 2024
[c14]Fouzi Boukhalfa, Réda Alami, Mastane Achab, Eric Moulines, Mehdi Bennis, Thierry Lestable:
Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study. ICC Workshops 2024: 1956-1961- [c13]Salmane Naoumi, Roberto Bomfin, Réda Alami, Marwa Chafii
:
TANAGERS: Emergent Communication for UAVs as Flying Passive Radars. WCNC 2024: 1-6 - [i14]Paul Mangold, Sergey Samsonov, Safwan Labbi, Ilya Levin, Réda Alami, Alexey Naumov, Eric Moulines:
SCAFFLSA: Quantifying and Eliminating Heterogeneity Bias in Federated Linear Stochastic Approximation and Temporal Difference Learning. CoRR abs/2402.04114 (2024) - [i13]Réda Alami, Abdalgader Abubaker, Mastane Achab, Mohamed El Amine Seddik, Salem Lahlou:
Investigating Regularization of Self-Play Language Models. CoRR abs/2404.04291 (2024) - [i12]Quentin Malartic, Nilabhra Roy Chowdhury, Ruxandra Cojocaru, Mugariya Farooq, Giulia Campesan, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Ankit Singh, Maksim Velikanov, Basma El Amel Boussaha, Mohammed Al-Yafeai, Hamza Alobeidli, Leen Al Qadi, Mohamed El Amine Seddik, Kirill Fedyanin, Réda Alami, Hakim Hacid:
Falcon2-11B Technical Report. CoRR abs/2407.14885 (2024) - [i11]Réda Alami, Ali Khalifa Almansoori, Ahmed Alzubaidi, Mohamed El Amine Seddik, Mugariya Farooq, Hakim Hacid:
Alignment with Preference Optimization Is All You Need for LLM Safety. CoRR abs/2409.07772 (2024) - [i10]Aymane El Firdoussi, Mohamed El Amine Seddik, Soufiane Hayou, Réda Alami, Ahmed Alzubaidi, Hakim Hacid:
Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory. CoRR abs/2410.08942 (2024) - 2023
- [j2]Marwa Chafii, Salmane Naoumi, Réda Alami, Ebtesam Almazrouei, Mehdi Bennis, Mérouane Debbah:
Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks. IEEE Internet Things Mag. 6(4): 18-24 (2023) - [j1]Mastane Achab, Réda Alami, Yasser Abdelaziz Dahou Djilali, Kirill Fedyanin, Eric Moulines:
One-Step Distributional Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c12]Réda Alami, Hakim Hacid, Lorenzo Bellone, Michal Barcis, Enrico Natalizio:
SOREO: A System for Safe and Autonomous Drones Fleet Navigation with Reinforcement Learning. AAAI 2023: 16398-16400 - [c11]Réda Alami, Mohammed Mahfoud, Eric Moulines:
Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes. CoLLAs 2023: 715-744 - [c10]Réda Alami, Mohammed Mahfoud, Mastane Achab:
A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits. ICDM (Workshops) 2023: 272-280 - [c9]Salmane Naoumi, Réda Alami, Hakim Hacid, Ebtesam Almazrouei, Mérouane Debbah, Mehdi Bennis, Marwa Chafii:
Emergent Communication in Multi-Agent Reinforcement Learning for Flying Base Stations. MeditCom 2023: 133-138 - [c8]Talal Algumaei, Ruben Solozabal, Réda Alami, Hakim Hacid, Mérouane Debbah, Martin Takác:
Regularization of the Policy Updates for Stabilizing Mean Field Games. PAKDD (2) 2023: 361-372 - [i9]Réda Alami, Mohammed Mahfoud, Eric Moulines:
Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes. CoRR abs/2304.00232 (2023) - [i8]Talal Algumaei, Ruben Solozabal, Réda Alami, Hakim Hacid, Mérouane Debbah, Martin Takác:
Regularization of the policy updates for stabilizing Mean Field Games. CoRR abs/2304.01547 (2023) - [i7]Mastane Achab, Réda Alami, Yasser Abdelaziz Dahou Djilali, Kirill Fedyanin, Eric Moulines:
One-Step Distributional Reinforcement Learning. CoRR abs/2304.14421 (2023) - [i6]Marwa Chafii, Salmane Naoumi, Réda Alami, Ebtesam Almazrouei, Mehdi Bennis, Mérouane Debbah:
Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks. CoRR abs/2309.06021 (2023) - [i5]Fouzi Boukhalfa, Réda Alami, Mastane Achab, Eric Moulines, Mehdi Bennis:
Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study. CoRR abs/2310.03767 (2023) - [i4]Réda Alami, Mohammed Mahfoud, Mastane Achab:
A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits. CoRR abs/2310.19821 (2023) - 2022
- [c7]Réda Alami:
Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments. ACML 2022: 17-31 - 2021
- [b1]Réda Alami:
Bandits à Mémoire pour la prise de décision en environnement dynamique. Application à l'optimisation des réseaux de télécommunications. (Memory Bandits for decision making in dynamical environments. Application to network optimization). University of Paris-Saclay, France, 2021 - 2020
- [c6]Réda Alami, Odalric Maillard, Raphaël Féraud:
Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay. ICML 2020: 211-221 - [i3]Gonzague Henri, Tanguy Levent, Avishai Halev, Réda Alami, Philippe Cordier:
pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research. CoRR abs/2011.08004 (2020)
2010 – 2019
- 2019
- [c5]Raphaël Féraud, Réda Alami, Romain Laroche:
Decentralized Exploration in Multi-Armed Bandits. ICML 2019: 1901-1909 - 2018
- [c4]Raouf Kerkouche, Réda Alami, Raphaël Féraud, Nadège Varsier, Patrick Maillé:
Node-based optimization of LoRa transmissions with Multi-Armed Bandit algorithms. ICT 2018: 521-526 - [c3]Hiba Dakdouk, Erika Tarazona, Réda Alami, Raphaël Féraud, Georgios Z. Papadopoulos, Patrick Maillé:
Reinforcement Learning Techniques for Optimized Channel Hopping in IEEE 802.15.4-TSCH Networks. MSWiM 2018: 99-107 - [i2]Raphaël Féraud, Réda Alami, Romain Laroche:
Decentralized Exploration in Multi-Armed Bandits. CoRR abs/1811.07763 (2018) - 2017
- [c2]Wissam Siblini, Réda Alami, Frank Meyer, Pascale Kuntz:
Supervised Feature Space Reduction for Multi-Label Nearest Neighbors. IEA/AIE (1) 2017: 182-191 - 2015
- [c1]Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat:
Toward an uncertainty principle for weighted graphs. EUSIPCO 2015: 1496-1500 - [i1]Bastien Pasdeloup, Réda Alami, Vincent Gripon, Michael G. Rabbat:
Toward An Uncertainty Principle For Weighted Graphs. CoRR abs/1503.03291 (2015)
Coauthor Index
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last updated on 2024-11-25 23:44 CET by the dblp team
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