Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to ...
The review introduces a proposed two-layer reinforcement learning framework for distributed smart grid control. In this ...
Reinforcement Learning is a powerful approach to machine learning that enables agents to learn optimal behaviors through ...
Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The remaining material covers algorithms for federated learning including ...
Al-Zahrani, F. (2025) Securing Consumer Banking Websites Using Machine Learning: A Mathematical and Practical Approach (Working 2024). Journal of Computer and Communications, 13, 21-29. doi: ...