Learning Quantities of Interest from Dynamical Systems for Observation-Consistent Inversion.
Steven MattisKyle Robert SteffenTroy D. ButlerClint N. DawsonDonald J. EstepPublished in: CoRR (2020)
Keyphrases
- dynamical systems
- predictive state representations
- reinforcement learning methods
- dynamic systems
- learning algorithm
- connectionist networks
- reinforcement learning
- state space
- latent variable models
- learning problems
- stochastic models
- phase space
- linear systems
- neural network
- learning tasks
- prior knowledge
- machine learning