New model frames human reinforcement learning in the context of memory and habits

Humans and most other animals are known to be strongly driven by expected rewards or adverse consequences. The process of ...
IEEE

Privacy-Preserving Multi-Agent Deep Reinforcement Learning for Effective Resource Auction in Multi-Access Edge Computing

Abstract: Multi-access edge computing (MEC) offloads services for mobile users to facilitate the integration of idle cloudlet resources and bring cloud services closer to users. Existing studies have ...

Made in India, Made for the World: ATOMESUS AI Set for Launch with ISRO-Grade Innovation

India is preparing to witness one of the most significant breakthroughs in its artificial intelligence ecosystem as ATOMESUS ...
IEEE

Elastic Resource Scheduling Strategy Based on Supervised-Reinforcement Learning

Abstract: In stream computing, existing deep reinforcement learning-based resource scheduling methods face challenges such as high computational complexity and difficulty in convergence. This paper ...