Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems.
Andreas SchlaginhaufenPhilippe WenkAndreas KrauseFlorian DörflerPublished in: NeurIPS (2021)
Keyphrases
- dynamical systems
- partially observed
- predictive state representations
- dynamical models
- dynamic systems
- reinforcement learning methods
- learning algorithm
- latent variable models
- dynamical behavior
- connectionist networks
- partially observable
- prior knowledge
- qualitative models
- learning problems
- learning tasks
- agent environment
- phase space
- reinforcement learning
- differential equations
- complex systems
- linear systems
- qualitative simulation
- autoregressive
- nonlinear dynamics
- hidden variables
- statistical models
- linear dynamical systems
- role playing
- model selection
- supervised learning
- state space