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Latest papers with code

Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions

19 Aug 2020LorenzoFederici/RobustTrajectoryDesignbyRL

This paper investigates the use of Reinforcement Learning for the robust design of low-thrust interplanetary trajectories in presence of severe disturbances, modeled alternatively as Gaussian additive process noise, observation noise, control actuation errors on thrust magnitude and direction, and possibly multiple missed thrust events.

ROBUST DESIGN STOCHASTIC OPTIMIZATION TRAJECTORY PLANNING

1
19 Aug 2020

Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory

CVPR 2020 ArashRahnama/RobustLyapunovDNNs

We treat each individual layer of the DNN as a nonlinear dynamical system and use Lyapunov theory to prove stability and robustness locally.

ROBUST DESIGN

2
12 Nov 2019