Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
–Neural Information Processing Systems
We study the problem of system identification and adaptive control in partially observable linear dynamical systems. Adaptive and closed-loop system identification is a challenging problem due to correlations introduced in data collection. In this paper, we present the first model estimation method with finite-time guarantees in both open and closed-loop system identification.
Neural Information Processing Systems
Mar-21-2025, 18:16:20 GMT