Learning interpretable continuous-time models of latent stochastic dynamical systems.
Lea DunckerGergo BohnerJulien BoussardManeesh SahaniPublished in: CoRR (2019)
Keyphrases
- dynamical systems
- predictive state representations
- latent variable models
- prior knowledge
- connectionist networks
- qualitative simulation
- learning algorithm
- stochastic models
- differential equations
- dynamic systems
- reinforcement learning methods
- nonlinear dynamical systems
- dynamical behavior
- dynamical models
- stochastic systems
- phase space
- partially observable
- markov processes
- control theory
- latent variables
- supervised learning
- qualitative models
- learning tasks
- statistical models
- monte carlo
- model selection
- search space