Keyphrases
Action Space
16%
Agent Deployment
16%
Cost Reduction
16%
Deep Reinforcement Learning (deep RL)
100%
Deep Reinforcement Learning Model
16%
Dynamic Voltage Frequency Scaling
100%
Embedded Computing
16%
Embedded Systems
100%
Energy Conservation
16%
Energy Consumption
33%
Energy Overhead
16%
Energy Reduction
16%
Environmental Change
33%
Execution Energy
16%
Experiment Results
16%
Feature Detection
33%
Feature Extraction
100%
High Density
33%
Hybrid Algorithm
16%
Invocation
100%
Keypoint Detection
33%
Keypoint Selection
33%
Learning-based
16%
Local Density
100%
Low Computational Complexity
33%
Miniaturization
16%
Multi-task Scheduling
16%
Overall Energy
16%
Overall System
16%
Performance Improvement
33%
Platform Design
16%
Popular
33%
Pruning
16%
Reinforcement Learning Agent
50%
Resource Consumption
16%
Scaling Approach
16%
Self-driving
33%
System Energy Consumption
16%
Temporal Perspective
16%
Vision Application
33%
Computer Science
Deep Reinforcement Learning
100%
Dynamic Voltage
100%
Embedded Computing
14%
Embedded Systems
100%
Energy Consumption
42%
Hybrid Algorithm
14%
Learning Agent
42%
Resource Consumption
14%
task-scheduling
14%
