Deep reinforcement learning of viscous incompressible flow.
Kevin Min Seong ParkAdam R. StinchcombePublished in: J. Comput. Phys. (2022)
Keyphrases
- reinforcement learning
- velocity field
- vector field
- function approximation
- model free
- flow field
- reinforcement learning algorithms
- state space
- deformable models
- temporal difference learning
- optimal control
- flow patterns
- fluid dynamics
- computational fluid dynamics
- learning process
- information flow
- mass transfer
- fluid flow
- data sets
- markov decision processes
- optical flow
- multi agent
- machine learning
- numerical simulations
- temporal difference
- medical images
- reinforcement learning methods
- dynamic programming
- learning algorithm
- robotic control