Tag: Reinforcement learning
Proactive VM consolidation cuts energy use and SLA violations
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Framework for VM consolidation combining workload prediction and physics-constrained reinforcement learning. Achieves 23.2% energy reduction and 43.5% SLA violation reduction in cloud datacenters.
Hybrid deep learning improved edge-cloud task scheduling in simulation
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Deep reinforcement learning framework for adaptive task scheduling in edge-cloud computing with improved SLA compliance, reduced operational costs, and lower task rejection rates.
Adaptive music generation improved emotional matching
Emotion-Conditioned Deep Reinforcement Learning framework for adaptive music generation. Achieves 98% emotion mapping accuracy with 280ms real-time responsiveness, enabling dynamic musical.
Hybrid reinforcement learning improved music teaching interaction
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Hybrid reinforcement learning architecture for adaptive music education systems combining PPO with CNN for real-time pedagogical strategy optimization and multimodal learner state classification.
