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Keyword: Markov Decision ProcessOpen AccessArticle
8 Pages, 1,415 KB 
A New Technique to Accelerate the Learning Process in Agents based on Reinforcement Learning
Abstract:
The use of decentralized reinforcement learning (RL) in the context of multi-agent systems (MAS) poses some difficult problems. The speed of the learning process for example. Indeed, if the convergence of these algorithms has been widely studied and mathematically proven, they suffer from being very slow. In this context, we propose to use RL in…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
Open AccessArticle
8 Pages, 6,367 KB
Modeling Control Agents in Social Media Networks Using Reinforcement Learning
Abstract:
Designing efficient control strategies for opinion dynamics is a challenging task. Understanding how individuals change their opinions in social networks is essential to countering malicious actors and fake news and mitigating their effect on the network. In many applications such as marketing design, product launches, etc., corporations often post curated news or feeds on social…
Read More(This article belongs to the SP15 (Special Issue on Innovation in Computing, Engineering Science & Technology 2023) & Section Interdisciplinary Applications of Computer Science (CSI))