12 citations · 13 across the 5 of their papers we have counts for
5 papers
Value-Preserving Architectures for Agentic AI Systems
Alessandro Pesare, Tommaso Dolci, Katja Hose +1
The emergence of agentic AI and LLM-based multi-agent systems (MAS) presents unprecedented opportunities for automating complex tasks, while simultaneously raising critical concern…
Online identification and control of PDEs via Reinforcement Learning methods
Alessandro Alla, Agnese Pacifico, Michele Palladino +1
We focus on the control of unknown Partial Differential Equations (PDEs). The system dynamics is unknown, but we assume we are able to observe its evolution for a given control inp…
A New Algorithm for the LQR Problem with Partially Unknown Dynamics
Agnese Pacifico, Andrea Pesare, Maurizio Falcone
We consider an LQR optimal control problem with partially unknown dynamics. We propose a new model-based online algorithm to obtain an approximation of the dynamics the contr…
Convergence of the Value Function in Optimal Control Problems with Unknown Dynamics
Andrea Pesare, Michele Palladino, Maurizio Falcone
We deal with the convergence of the value function of an approximate control problem with uncertain dynamics to the value function of a nonlinear optimal control problem. The assum…
Convergence results for an averaged LQR problem with applications to reinforcement learning
Andrea Pesare, Michele Palladino, Maurizio Falcone
In this paper, we will deal with a Linear Quadratic Optimal Control problem with unknown dynamics. As a modeling assumption, we will suppose that the knowledge that an agent has on…