Operator Models for Continuous-Time Offline Reinforcement Learning

Nicolas Hoischen, Petar Bevanda, Max Beier +3

Continuous-time stochastic processes underlie many natural and engineered systems. In healthcare, autonomous driving, and industrial control, direct interaction with the environmen…