Réda Alami

According to our database1, Réda Alami authored at least 18 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

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

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

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

One-Step Distributional Reinforcement Learning.
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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