Physics-Informed Neural State Space Models via Learning and Evolution.
Elliott SkomskiJan DrgonaAaron TuorPublished in: CoRR (2020)
Keyphrases
- state space
- learning algorithm
- reinforcement learning
- learning process
- prior knowledge
- partially observable
- heuristic search
- neural network
- accurate models
- knowledge acquisition
- learning models
- learning rules
- dynamic bayesian networks
- statistical models
- learning systems
- online learning
- learned models
- active learning
- structured prediction
- reinforcement learning algorithms
- spiking neural networks
- state variables
- neural nets
- learning problems
- learning tasks
- domain independent
- model selection
- probabilistic model
- computer science
- bayesian networks