6 citations · 18 across the 6 of their papers we have counts for
6 papers
Measurement-Feedback Control with Optimal Data-Dependent Regret
Gautam Goel, Babak Hassibi
Inspired by online learning, data-dependent regret has recently been proposed as a criterion for controller design. In the regret-optimal control paradigm, causal controllers are d…
Feedback capacity of Gaussian channels with memory
Oron Sabag, Victoria Kostina, Babak Hassibi
We consider the feedback capacity of a MIMO channel whose channel output is given by a linear state-space model driven by the channel inputs and a Gaussian process. The generality…
Optimal Competitive-Ratio Control
Oron Sabag, Sahin Lale, Babak Hassibi
Inspired by competitive policy designs approaches in online learning, new control paradigms such as competitive-ratio and regret-optimal control have been recently proposed as alte…
Regret-Optimal LQR Control
Oron Sabag, Gautam Goel, Sahin Lale +1
We consider the infinite-horizon LQR control problem. Motivated by competitive analysis in online learning, as a criterion for controller design we introduce the dynamic regret, de…
Regret-Optimal Filtering for Prediction and Estimation
Oron Sabag, Babak Hassibi
The filtering problem of causally estimating a desired signal from a related observation signal is investigated through the lens of regret optimization. Classical filter designs, s…
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems
Sahin Lale, Kamyar Azizzadenesheli, Babak Hassibi +1
In this work, we study model-based reinforcement learning (RL) in unknown stabilizable linear dynamical systems. When learning a dynamical system, one needs to stabilize the unknow…