Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs.
Cheng WangCarolin LawrenceMathias NiepertPublished in: ICLR (2021)
Keyphrases
- finite state
- uncertain data
- markov chain
- markov decision processes
- recurrent neural networks
- model checking
- probability theory
- decision theory
- conditional probabilities
- average cost
- tree automata
- context free
- optimal policy
- bayesian networks
- temporal logic
- vector quantizer
- partially observable markov decision processes
- camera calibration
- parameter estimation
- policy iteration
- machine learning
- neural network