Structured Variational Inference in Partially Observable UnstableGaussian Process State Space Models.
Sebastian CuriSilvan MelchiorFelix BerkenkampAndreas KrausePublished in: L4DC (2020)
Keyphrases
- state space
- partially observable
- variational inference
- reinforcement learning
- probabilistic model
- markov decision processes
- bayesian inference
- dynamical systems
- posterior distribution
- probabilistic graphical models
- model selection
- markov chain
- statistical models
- decision problems
- markov decision problems
- variational methods
- gaussian process
- parameter estimation
- maximum likelihood
- least squares
- search space
- search algorithm