Keyphrases
Embedded Systems
100%
Deep Reinforcement Learning (deep RL)
100%
Dynamic Voltage Frequency Scaling
100%
Reinforcement Learning Agent
50%
Performance Improvement
33%
Energy Consumption
33%
Inpainting Method
33%
System Energy Consumption
16%
Deep Reinforcement Learning Model
16%
Agent Deployment
16%
Execution Energy
16%
Multi-task Scheduling
16%
Resource Consumption
16%
Energy Overhead
16%
Action Space
16%
Embedded Computing
16%
Overall Energy
16%
Temporal Perspective
16%
Platform Design
16%
Miniaturization
16%
Energy Conservation
16%
Overall System
16%
Learning-based
16%
Scaling Approach
16%
Energy Reduction
16%
Experiment Results
16%
Pruning
16%
Hybrid Algorithm
16%
Cost Reduction
16%
Human Readability
16%
Degraded Document
16%
Plug-in Module
16%
Financial Documents
16%
Recognition Error
16%
Line Image
16%
Character Lines
16%
Scenario Creation
11%
Data-driven Applications
11%
Battery Production
11%
Computer Science
Deep Reinforcement Learning
100%
Dynamic Voltage
100%
Embedded Systems
100%
Functional Component
50%
Learning Agent
42%
Energy Consumption
42%
Adaptation Strategy
25%
Hybrid Algorithm
14%
Resource Consumption
14%
task-scheduling
14%
Embedded Computing
14%
