Q-Learning-based Adaptive Power Management for IoT System-on-Chips with Embedded Power States.
Yvan DebizetGuénolé LallementFady AbouzeidPhilippe RocheJean-Luc AutranPublished in: ISCAS (2018)
Keyphrases
- power management
- power consumption
- data center
- energy saving
- energy efficiency
- energy consumption
- dynamic power management
- high speed
- battery life
- cloud computing
- learning algorithm
- management system
- multi agent
- cooperative
- high density
- embedded systems
- state space
- integrated circuit
- energy efficient
- reinforcement learning
- cost effective
- state action
- chip design
- artificial intelligence
- design considerations
- state transitions
- data sets
- optimal policy
- real time