Trajectory Optimization Using Neural Network Gradients of Learned Dynamics.
Nathanael KöhlerBhavya SukhijaMiguel ZamoraSimon ZimmermannStelian CorosPublished in: CoRR (2022)
Keyphrases
- neural network
- optimization algorithm
- global optimization
- back propagation
- dynamic model
- artificial neural networks
- constrained optimization
- optimization process
- optimization problems
- neural network model
- genetic algorithm
- highly non linear
- recurrent neural networks
- optimization method
- input image
- evolutionary algorithm
- trajectory data
- gradient vector
- spatio temporal
- image reconstruction from projections