Model-Based Reinforcement Learning for Control under Time-Varying Dynamics

Klemens Iten, Bruce Lee, Chenhao Li +3

Learning-based control methods typically assume stationary system dynamics, an assumption often violated in real-world systems due to drift, wear, or changing operating conditions.…