Controlling dynamical systems to complex target states using machine learning: next-generation vs. classical reservoir computing.
Alexander HaluszczynskiDaniel KöglmayrChristoph RäthPublished in: CoRR (2023)
Keyphrases
- dynamical systems
- machine learning
- reservoir computing
- dynamic systems
- differential equations
- control theory
- recurrent neural networks
- nonlinear dynamical systems
- state space
- linear systems
- phase space
- partially observable
- learning tasks
- qualitative simulation
- predictive state representations
- supervised learning
- dynamical behavior
- qualitative differential equations
- discrete dynamical systems
- neural network
- agent environment
- dynamical models
- cellular automata
- probabilistic model
- reinforcement learning
- decision making
- data mining