Direct shape optimization through deep reinforcement learning.
Jonathan ViqueratJean RabaultAlexander KuhnleHassan GhraiebElie HachemPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- optimization process
- global optimization
- function approximation
- optimization algorithm
- shape model
- neural network
- learning algorithm
- model free
- dynamic programming
- transfer learning
- optimization method
- genetic algorithm
- shape retrieval
- learning tasks
- state space
- markov decision processes
- image registration
- shape features
- constrained optimization
- three dimensional
- computer vision