Data-driven memory-dependent abstractions of dynamical systems.
Adrien BanseLicio RomaoAlessandro AbateRaphaël M. JungersPublished in: L4DC (2023)
Keyphrases
- dynamical systems
- data driven
- dynamic systems
- differential equations
- state space
- nonlinear dynamical systems
- memory requirements
- linear systems
- control theory
- qualitative simulation
- partially observable
- memory space
- past observations
- dynamical behavior
- nonlinear dynamics
- agent environment
- limited memory
- predictive state representations
- phase space
- machine learning
- discrete dynamical systems