Experimental design for MRI by greedy policy search.
Tim BakkerHerke van HoofMax WellingPublished in: CoRR (2020)
Keyphrases
- experimental design
- policy search
- dynamic programming
- reinforcement learning
- feature selection
- continuous state
- active learning
- empirical studies
- search algorithm
- sample size
- reinforcement learning algorithms
- policy gradient
- markov decision problems
- search space
- finite state
- reward function
- partially observable markov decision processes
- state space
- support vector machine
- bayesian networks
- data mining