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B-LSTM-MIONet: Bayesian LSTM-based Neural Operators for Learning the Response of Complex Dynamical Systems to Length-Variant Multiple Input Functions.
Zhihao Kong
Amirhossein Mollaali
Christian Moya
Na Lu
Guang Lin
Published in:
CoRR (2023)
Keyphrases
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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