Estimating Koopman operators with sketching to provably learn large scale dynamical systems.
Giacomo MeantiAntoine ChatalicVladimir R. KosticPietro NovelliMassimiliano PontilLorenzo RosascoPublished in: CoRR (2023)
Keyphrases
- dynamical systems
- differential equations
- dynamic systems
- state space
- nonlinear dynamical systems
- qualitative simulation
- phase space
- agent environment
- linear systems
- control theory
- dynamical models
- partially observable
- discrete dynamical systems
- nonlinear dynamics
- partially observable markov decision processes
- reinforcement learning
- monte carlo
- worst case
- learning algorithm