4 papers
Safety and optimality in learning-based control at low computational cost
Dominik Baumann, Krzysztof Kowalczyk, Cristian R. Rojas +2
Applying machine learning methods to physical systems that are supposed to act in the real world requires providing safety guarantees. However, methods that include such guarantees…
Kernel-based learning with guarantees for multi-agent applications
Krzysztof Kowalczyk, Paweł Wachel, Cristian R. Rojas
This paper addresses a kernel-based learning problem for a network of agents locally observing a latent multidimensional, nonlinear phenomenon in a noisy environment. We propose a…
A computationally lightweight safe learning algorithm
Dominik Baumann, Krzysztof Kowalczyk, Koen Tiels +1
Safety is an essential asset when learning control policies for physical systems, as violating safety constraints during training can lead to expensive hardware damage. In response…
Decentralized diffusion-based learning under non-parametric limited prior knowledge
Paweł Wachel, Krzysztof Kowalczyk, Cristian R. Rojas
We study the problem of diffusion-based network learning of a nonlinear phenomenon, , from local agents' measurements collected in a noisy environment. For a decentralized netwo…