12 citations · 38 across the 32 of their papers we have counts for
39 papers
Policy Gradient over History-Dependent Policy Classes for LQR with Domain Randomization
Tesshu Fujinami, Bruce D. Lee, Anastasios Tsiamis +2
Domain Randomization (DR) has been widely used to overcome the sim-to-real gap by training a controller on a distribution of simulated environments via reinforcement learning. Whil…
The Fragility of Learning LQG Controllers
Bruce D. Lee, Anastasios Tsiamis, Nikolai Matni +2
Learning methods are increasingly used to synthesize controllers from data, yet existing sample-complexity characterizations for continuous control are sharp only in the fully obse…
Layered Control of Partially Observed Stochastic Systems
Charis Stamouli, Anastasios Tsiamis, George J. Pappas
Layered control is essential for managing complexity in large-scale systems, employing progressively coarser models at higher layers. While significant advances have been made for…
On transferring safety certificates across dynamical systems
Nikolaos Bousias, Charalampia Stamouli, Anastasios Tsiamis +1
Control barrier functions (CBFs) provide a powerful tool for enforcing safety constraints in control systems, but their direct application to complex, high-dimensional dynamics is…
Policy Gradient Bounds in Multitask LQR
Charis Stamouli, Leonardo F. Toso, Anastasios Tsiamis +2
We analyze the performance of policy gradient in multitask linear quadratic regulation (LQR), where the system and cost parameters differ across tasks. The main goal of multitask L…
Layered Multirate Control of Constrained Linear Systems
Charis Stamouli, Anastasios Tsiamis, Manfred Morari +1
Layered control architectures have been a standard paradigm for efficiently managing complex constrained systems. A typical architecture consists of: i) a higher layer, where a low…