Port-Hamiltonian Neural Networks for Learning Explicit Time-Dependent Dynamical Systems.
Shaan DesaiMarios MattheakisDavid SondakPavlos ProtopapasStephen J. RobertsPublished in: CoRR (2021)
Keyphrases
- dynamical systems
- neural network
- predictive state representations
- connectionist networks
- learning algorithm
- agent environment
- partially observable
- differential equations
- dynamic systems
- learning problems
- spatio temporal
- supervised learning
- semi supervised
- latent variable models
- reinforcement learning methods
- hidden markov models
- machine learning