Mathematics
Reinforcement Learning
100%
Model-based
60%
Learning
34%
Model
21%
Framework
16%
Long-run
11%
Learning Algorithm
11%
Layout
11%
Reward
10%
Animals
10%
Overlapping
10%
Dynamic Programming
9%
Family
8%
Human
8%
Evidence
7%
Prediction
7%
Evaluation
6%
Line
6%
Unknown
6%
Simulation
6%
Range of data
5%
Subset
5%
Earth & Environmental Sciences
reinforcement
65%
learning
54%
family
12%
organism
5%
animal
5%
decision
5%
prediction
4%
evaluation
3%
simulation
3%
Medicine & Life Sciences
Psychology Reinforcement
71%
Learning
49%
Reward
10%
Animals
5%
Engineering & Materials Science
Reinforcement learning
66%
Networks (circuits)
9%
Dynamic programming
8%
Animals
8%
Learning algorithms
6%
Set theory
5%
Agriculture & Biology
learning
60%
dynamic programming
12%
prediction
5%
organisms
4%
animals
3%