B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions.
Zhihao KongAmirhossein MollaaliChristian MoyaNa LuGuang LinPublished in: CoRR (2023)
Keyphrases
- dynamical systems
- predictive state representations
- multiple input
- learning algorithm
- learning tasks
- differential equations
- control theory
- dynamic systems
- reinforcement learning methods
- neural network
- state space
- nonlinear dynamics
- reinforcement learning
- markov chain
- model selection
- probabilistic model
- learning problems
- dynamic bayesian networks
- partially observable