Explicit Gradient Learning for Black-Box Optimization

no code implementations • ICML 2020 • Elad Sarafian, Mor Sinay, yoram louzoun, Noa Agmon, Sarit Kraus

We prove the convergence of EGL to a stationary point and its robustness in the optimization of integrable functions.

Image Generation

Uncertainty with UAV Search of Multiple Goal-oriented Targets

1 code implementation • 3 Mar 2022 • Mor Sinay, Noa Agmon, Oleg Maksimov, Aviad Fux, Sarit Kraus

We suggest a real-time algorithmic framework for the UAVs, combining entropy and stochastic-temporal belief, that aims at optimizing the probability of a quick and successful detection of all of the targets.

Explicit Gradient Learning

no code implementations • 9 Jun 2020 • Mor Sinay, Elad Sarafian, yoram louzoun, Noa Agmon, Sarit Kraus

Instead of fitting the function, EGL trains a NN to estimate the objective gradient directly.

Image Generation