23 citations · 101 across the 30 of their papers we have counts for
3 papers · 1 filter
Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems
Suruchi Sharma, Volodymyr Makarenko, Gautam Kumar +1
Control of a dynamical system without the knowledge of dynamics is an important and challenging task. Modern machine learning approaches, such as deep neural networks (DNNs), allow…
GEM: Group Enhanced Model for Learning Dynamical Control Systems
Philippe Hansen-Estruch, Wenling Shang, Lerrel Pinto +2
Learning the dynamics of a physical system wherein an autonomous agent operates is an important task. Often these systems present apparent geometric structures. For instance, the t…
A Unified Bellman Equation for Causal Information and Value in Markov Decision Processes
Stas Tiomkin, Naftali Tishby
The interaction between an artificial agent and its environment is bi-directional. The agent extracts relevant information from the environment, and affects the environment by its…