Open access
Aug 2026
A Hybrid Deep Reinforcement Learning Framework for Efficient Cloud Resource Scheduling
A hybrid Deep Reinforcement Learning (DRL) framework that combines Deep Q-Network, Proximal Policy Optimization and Advantage Actor-Critic to enable adaptive resource scheduling in cloud environments is proposed.
P. Priya, J. Geetha, E. Naresh et al.
· International Journal of Com... · 0 citations