17 citations · 28 across the 11 of their papers we have counts for
4 papers · 1 filter
Approximate Midpoint Policy Iteration for Linear Quadratic Control
Benjamin Gravell, Iman Shames, Tyler Summers
We present a midpoint policy iteration algorithm to solve linear quadratic optimal control problems in both model-based and model-free settings. The algorithm is a variation of New…
Robust Control Design for Linear Systems via Multiplicative Noise
Benjamin Gravell, Peyman Mohajerin Esfahani, Tyler Summers
Robust stability and stochastic stability have separately seen intense study in control theory for many decades. In this work we establish relations between these properties for di…
Robust Learning-Based Control via Bootstrapped Multiplicative Noise
Benjamin Gravell, Tyler Summers
Despite decades of research and recent progress in adaptive control and reinforcement learning, there remains a fundamental lack of understanding in designing controllers that prov…
Linear System Identification Under Multiplicative Noise from Multiple Trajectory Data
Yu Xing, Ben Gravell, Xingkang He +2
The study of multiplicative noise models has a long history in control theory but is re-emerging in the context of complex networked systems and systems with learning-based control…