Data-driven learning of chaotic dynamical systems using Discrete-Temporal Sobolev Networks.
Connor M. KennedyTrace CrowdisHaoran HuSankaran VaidyanathanHong-Kun ZhangPublished in: Neural Networks (2024)
Keyphrases
- dynamical systems
- data driven
- connectionist networks
- learning algorithm
- dynamical behavior
- predictive state representations
- nonlinear dynamical systems
- reinforcement learning
- phase space
- partially observable
- dynamic systems
- learning tasks
- differential equations
- learning problems
- reinforcement learning methods
- spatio temporal
- hidden variables
- linear systems
- latent variable models
- nonlinear dynamics
- cellular automata
- supervised learning
- state space