Direct shape optimization through deep reinforcement learning.
Jonathan ViqueratJean RabaultAlexander KuhnleHassan GhraiebAurélien LarcherElie HachemPublished in: J. Comput. Phys. (2021)
Keyphrases
- reinforcement learning
- optimization problems
- shape analysis
- function approximation
- optimization algorithm
- shape model
- shape recognition
- constrained optimization
- learning algorithm
- shape retrieval
- temporal difference
- model free
- shape representation
- markov decision processes
- multi objective
- optimization methods
- optimal control
- shape features
- probabilistic model
- optimization process
- optimization model
- feature vectors
- three dimensional
- computer vision
- machine learning
- statistical shape model
- deep learning
- function approximators