A review on Deep Reinforcement Learning for Fluid Mechanics.
Paul GarnierJonathan ViqueratJean RabaultAurélien LarcherAlexander KuhnleElie HachemPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- optimal policy
- state space
- real time
- model free
- markov decision processes
- multi agent
- learning algorithm
- data sets
- case study
- decision making
- real world
- temporal difference
- database
- temporal difference learning
- quantum mechanics
- flow estimation