Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks.
Cyrus NearyUfuk TopcuPublished in: L4DC (2023)
Keyphrases
- dynamical systems
- neural network
- predictive state representations
- neural nets
- learning algorithm
- state space
- connectionist networks
- learning problems
- reinforcement learning
- hidden state
- learning rules
- back propagation
- cellular automata
- differential equations
- learning tasks
- dynamical models
- latent variable models
- hidden variables
- statistical models
- computational intelligence
- machine learning