Variational Inference Formulation for a Model-Free Simulation of a Dynamical System with Unknown Parameters by a Recurrent Neural Network.
Kyongmin YeoDylan E. C. GrullonFan-Keng SunDuane S. BoningJayant R. KalagnanamPublished in: SIAM J. Sci. Comput. (2021)
Keyphrases
- dynamical systems
- model free
- variational inference
- reinforcement learning
- bayesian inference
- function approximation
- state space
- variational methods
- probabilistic graphical models
- latent dirichlet allocation
- probabilistic model
- posterior distribution
- temporal difference
- mixture model
- closed form
- gaussian process
- topic models
- partially observable markov decision processes
- exponential family
- approximate inference
- probability distribution