Portfolio Management: A Deep Distributional RL Approach

D Pacheco Aznar - Available at SSRN, 2023 - papers.ssrn.com
This thesis presents the development and implementation of a novel Deep Distributional
Reinforcement Learning (DDRL) approach in the field of quantitative finance: the …

Deep Reinforcement Learning for Optimal Energy Management in Smart Multi-Energy Systems

D Bousnina - 2023 - pastel.hal.science
This research introduces a Deep Reinforcement Learning (DRL)-based approach for the
optimized energy management in Smart Multi-Energy Systems (SMES). A Smart Energy …

Mobile Traffic Classification and Multi-Cell Base Station Control for Energy-Efficient 5G Networks

C Tianzhang - 2023 - diva-portal.org
The global energy consumption of mobile networks is rapidly increasing due to the
exponential growth of mobile network traffic. The advent of next-generation cellular …

ICA-ResNet-based signal detection and optimal power allocation for CRN-NOMA system

A Kumar - International Conference on Mathematical and …, 2023 - spiedigitallibrary.org
Non-orthogonal multiple access (NOMA) system is one of the assuring solutions for the
upcoming wireless communication systems for achieving better spectral efficiency. The …

Optimizing Beamforming using Neural Networks for Wireless Communications with an FPGA

L Honrubia Fernández - 2023 - oa.upm.es
Wireless communication is an indispensable way of transmitting information all over the
world, considering that we are living in the age of globalization. For this reason, we are …

[PDF][PDF] Étude de l'art sur l'amélioration des performances de l'apprentissage fédéré dans des environnements hétérogènes en utilisation l'apprentissage par …

MB Sofiane, HL ESI, O Hamza, I Youcef - researchgate.net
Résumé La confidentialité des données est devenue une préoccupation essentielle dans le
monde actuel axé sur la technologie. En effet, avec la prolifération du Big Data et l'utilisation …