Using Machine Learning to Anticipate Tipping Points and Extrapolate to Post-Tipping Dynamics of Non-Stationary Dynamical Systems.
Dhruvit PatelEdward OttPublished in: CoRR (2022)
Keyphrases
- dynamical systems
- non stationary
- machine learning
- differential equations
- qualitative simulation
- state space
- adaptive algorithms
- dynamic systems
- control theory
- nonlinear dynamical systems
- autoregressive
- agent environment
- phase space
- empirical mode decomposition
- random fields
- dynamical models
- dynamical behavior
- reinforcement learning
- learning tasks
- qualitative differential equations
- predictive state representations
- multiresolution