2 papers
eess.SY2021
Deep Stochastic Optimal Control Policies for Planetary Soft-landing
Marcus A. Pereira, Camilo A. Duarte, Ioannis Exarchos +1
In this paper, we introduce a novel deep learning based solution to the Powered-Descent Guidance (PDG) problem, grounded in principles of nonlinear Stochastic Optimal Control (SOC)…
cs.LG2020
NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-End Learning and Control
Ioannis Exarchos, Marcus A. Pereira, Ziyi Wang +1
In this work we propose the use of adaptive stochastic search as a building block for general, non-convex optimization operations within deep neural network architectures. Specific…