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Akademický článek

Evaluation of water quality of Oum Er Rbia River (Morocco) using water quality index method

Autor: A. Benamar, F.Z Mahjoubi, F. Kzaiber, A. Oussama

Publikováno v: Journal of Applied Surfaces and Interfaces, Vol 5, Iss 1-3, Pp 1-12 (2019)

The objective of the present study is to investigate the spatiotemporal variation analysis of water quality and identification of water pollution sources in Oum Er Rbia river. To evaluate the water quality of river, physico‐chemical analysis of w

Externí odkaz: https://doaj.org/article/489ad73689e045328e17d1870d92f835

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Joint Intrinsic Motivation for Coordinated Exploration in Multi-Agent Deep Reinforcement Learning

Autor: Toquebiau, Maxime, Bredeche, Nicolas, Benamar, Faïz, Jun, Jae-Yun

Multi-agent deep reinforcement learning (MADRL) problems often encounter the challenge of sparse rewards. This challenge becomes even more pronounced when coordination among agents is necessary. As performance depends not only on one agent's behavior

Externí odkaz: http://arxiv.org/abs/2402.03972

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Deep Reinforcement Learning for Autonomous Vehicle Intersection Navigation

Autor: Elallid, Badr Ben, Alaoui, Hamza El, Benamar, Nabil

In this paper, we explore the challenges associated with navigating complex T-intersections in dense traffic scenarios for autonomous vehicles (AVs). Reinforcement learning algorithms have emerged as a promising approach to address these challenges b

Externí odkaz: http://arxiv.org/abs/2310.08595

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Vehicles Control: Collision Avoidance using Federated Deep Reinforcement Learning

Autor: Elallid, Badr Ben, Abouaomar, Amine, Benamar, Nabil, Kobbane, Abdellatif

In the face of growing urban populations and the escalating number of vehicles on the roads, managing transportation efficiently and ensuring safety have become critical challenges. To tackle these issues, the development of intelligent control syste

Externí odkaz: http://arxiv.org/abs/2308.02614

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