Computer Science
Deep Reinforcement Learning
100%
Unmanned Aerial Vehicle
100%
Reinforcement Learning
50%
Experimental Result
25%
Energy Efficient
25%
Response Time
25%
Power Consumption
25%
Control Theory
25%
Position Error
25%
hardware acceleration
25%
Field Programmable Gate Arrays
25%
Learning Framework
25%
Deep Neural Network
25%
Engineering
Reinforcement Learning
100%
Unmanned Aerial Vehicle
100%
Energy Engineering
20%
Experimental Result
20%
Limitations
20%
Degree of Freedom
20%
Response Time
20%
Attainment
20%
Electric Power Utilization
20%
Position Error
20%
Field Programmable Gate Arrays
20%
Deep Neural Network
20%
Fixed Wings
20%
Keyphrases
Accurate Trajectory Tracking
100%
Proportional Integral Derivative
25%
Vehicle Trajectory
25%
Conventional Control
25%
Optimal Tracking Control
25%
Chemical Engineering
Reinforcement Learning
100%
Deep Neural Network
33%