Predicting Latent States of Dynamical Systems With State-Space Reconstruction and Gaussian Processes.
Kurt ButlerGuanchao FengCharles B. MikellSima MofakhamPetar M. DjuricPublished in: EUSIPCO (2022)
Keyphrases
- dynamical systems
- gaussian processes
- state space
- gaussian process
- state variables
- latent variables
- latent space
- gaussian process regression
- belief state
- covariance function
- gaussian process models
- latent variable models
- nonlinear dynamical systems
- partially observable
- dynamic programming
- reinforcement learning
- markov decision processes
- markov chain
- partially observable markov decision processes
- feature selection
- multi task
- image reconstruction
- optimal policy
- video sequences