4 citations · 4 across the 3 of their papers we have counts for
3 papers
eess.SY2021
Model-Based Reinforcement Learning for Approximate Optimal Control with Temporal Logic Specifications
Max Cohen, Calin Belta
In this paper we study the problem of synthesizing optimal control policies for uncertain continuous-time nonlinear systems from syntactically co-safe linear temporal logic (scLTL)…
eess.SY2020
Approximate Optimal Control for Safety-Critical Systems with Control Barrier Functions
Max Cohen, Calin Belta
Control Barrier Functions (CBFs) have become a popular tool for enforcing set invariance in safety-critical control systems. While guaranteeing safety, most CBF approaches are myop…
eess.SP2020★ 4 cited
End-to-end deep metamodeling to calibrate and optimize energy loads
Max Cohen, Maurice Charbit, Sylvain Le Corff +2
In this paper, we propose a new end-to-end methodology to optimize the energy performance and the comfort, air quality and hygiene of large buildings. A metamodel based on a Transf…