Réda Alami

According to our database1, Réda Alami authored at least 24 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theory.
CoRR, 2024

Alignment with Preference Optimization Is All You Need for LLM Safety.
CoRR, 2024

Falcon2-11B Technical Report.
CoRR, 2024

Investigating Regularization of Self-Play Language Models.
CoRR, 2024

SCAFFLSA: Quantifying and Eliminating Heterogeneity Bias in Federated Linear Stochastic Approximation and Temporal Difference Learning.
CoRR, 2024

TANAGERS: Emergent Communication for UAVs as Flying Passive Radars.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023
Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks.
IEEE Internet Things Mag., December, 2023

One-Step Distributional Reinforcement Learning.
Trans. Mach. Learn. Res., 2023

Deep Reinforcement Learning Algorithms for Hybrid V2X Communication: A Benchmarking Study.
CoRR, 2023

Regularization of the Policy Updates for Stabilizing Mean Field Games.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Emergent Communication in Multi-Agent Reinforcement Learning for Flying Base Stations.
Proceedings of the IEEE International Mediterranean Conference on Communications and Networking, 2023

A Risk-Averse Framework for Non-Stationary Stochastic Multi-Armed Bandits.
Proceedings of the IEEE International Conference on Data Mining, 2023

Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes.
Proceedings of the Conference on Lifelong Learning Agents, 2023

SOREO: A System for Safe and Autonomous Drones Fleet Navigation with Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Bayesian Change-Point Detection for Bandit Feedback in Non-stationary Environments.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
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).
PhD thesis, 2021

2020
pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research.
CoRR, 2020

Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Decentralized Exploration in Multi-Armed Bandits.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Reinforcement Learning Techniques for Optimized Channel Hopping in IEEE 802.15.4-TSCH Networks.
Proceedings of the 21st ACM International Conference on Modeling, 2018

Node-based optimization of LoRa transmissions with Multi-Armed Bandit algorithms.
Proceedings of the 25th International Conference on Telecommunications, 2018

2017
Supervised Feature Space Reduction for Multi-Label Nearest Neighbors.
Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

2015
Toward an uncertainty principle for weighted graphs.
Proceedings of the 23rd European Signal Processing Conference, 2015


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