Evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems.
Stephen GuthAlireza MojahedThemistoklis P. SapsisPublished in: CoRR (2023)
Keyphrases
- dynamical systems
- machine learning
- differential equations
- nonlinear dynamical systems
- dynamic systems
- linear systems
- qualitative simulation
- state space
- complex systems
- phase space
- control theory
- machine learning algorithms
- agent environment
- data mining
- dynamical behavior
- predictive state representations
- learning tasks
- reinforcement learning
- neural network
- learning problems
- learning algorithm
- discrete dynamical systems