Keyphrases
X-ray Computed Tomography (X-CT)
100%
Optimal Experimental Design
100%
Design Problems
100%
Deep Reinforcement Learning (deep RL)
100%
Sequential Experimental Design
100%
Design for X
100%
3D Reconstruction
40%
Scanning Angle
40%
Training Methods
20%
Synthetic Data
20%
Computed Tomography
20%
Nonconvex
20%
Bayesian Framework
20%
Online Training
20%
Numerical Optimization
20%
Reconstruction Accuracy
20%
Bilevel Optimization
20%
Actor-critic
20%
Popular
20%
Policy Training
20%
2D Tomography
20%
Sparse-angle Tomography
20%
In-line Quality Control
20%
Partially Observable Markov Decision Process
20%
Greedy Policy
20%
Engineering
Design of Experiments
100%
Reinforcement Learning
100%
Design for X
100%
Design Problem
83%
Optimisation Problem
16%
Numerical Optimization
16%
Quality Control
16%
Bayesian Framework
16%
Offline Training
16%
Partially Observable Markov Decision Process
16%
Computer Science
Design Experiment
100%
Deep Reinforcement Learning
100%
Design Problem
83%
3d Reconstruction
33%
Optimization Problem
16%
Markov Decision Process
16%
Popular Approach
16%
Bayesian Framework
16%
Bilevel Optimisation
16%
Synthetic Data
16%
Training Policy
16%
Mathematics
Design Experiment
100%
3d-Reconstruction
33%
Bayesian
16%
Synthetic Data
16%
Partially Observable Markov Decision Process
16%
Chemical Engineering
Reinforcement Learning
100%