2026
The Sample Complexity of Online Reinforcement Learning: A Multi-model Perspective
ICLR 2026poster
We study the sample complexity of online reinforcement learning in the general setting of nonlinear dynamical systems with continuous state and action spaces. Our analysis accommodates a large class of dynamical systems ranging from a finite set of nonlinear candidate models to models with bounded a…