117 citations · 251 across the 44 of their papers we have counts for
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Point-Based Value Iteration and Approximately Optimal Dynamic Sensor Selection for Linear-Gaussian Processes
Michael Hibbard, Kirsten Tuggle, Takashi Tanaka
The problem of synthesizing an optimal sensor selection policy is pertinent to a variety of engineering applications ranging from event detection to autonomous navigation. We consi…
Scalable Synthesis of Minimum-Information Linear-Gaussian Control by Distributed Optimization
Murat Cubuktepe, Takashi Tanaka, Ufuk Topcu
We consider a discrete-time linear-quadratic Gaussian control problem in which we minimize a weighted sum of the directed information from the state of the system to the control in…
Closed-loop Parameter Identification of Linear Dynamical Systems through the Lens of Feedback Channel Coding Theory
Ali Reza Pedram, Takashi Tanaka
This paper considers the problem of closed-loop identification of linear scalar systems with Gaussian process noise, where the system input is determined by a deterministic state f…
Rationally Inattentive Path-Planning via RRT*
Jeb Stefan, Ali Reza Pedram, Riku Funada +1
We consider a path-planning scenario for a mobile robot traveling in a configuration space with obstacles under the presence of stochastic disturbances. A novel path length metric…
SARSA(0) Reinforcement Learning over Fully Homomorphic Encryption
Jihoon Suh, Takashi Tanaka
We consider a cloud-based control architecture in which the local plants outsource the control synthesis task to the cloud. In particular, we consider a cloud-based reinforcement l…