Mathematics
Dynamic Programming
100%
Neural Networks
93%
Heuristics
86%
Learning
45%
Approximate Dynamic Programming
40%
Configuration
39%
Online Learning
38%
Output Feedback Control
37%
Optimality Equation
35%
Learning Process
34%
Bellman Equation
32%
Online Algorithms
32%
Network Structure
31%
Gradient Algorithm
30%
Learning Algorithm
29%
State Feedback
27%
Expand
26%
Controller
23%
Pole
22%
Control Problem
21%
Entire
21%
Output
18%
Derivative
15%
Performance
14%
Estimate
11%
Engineering & Materials Science
Dynamic programming
97%
Neural networks
60%
State feedback
19%
Feedback control
17%
Poles
17%
Learning algorithms
16%
Derivatives
16%
Controllers
10%