no code implementations • 3 Apr 2024 • Abhijeet Pendyala, Asma Atamna, Tobias Glasmachers
We present a proximal policy optimization (PPO) agent trained through curriculum learning (CL) principles and meticulous reward engineering to optimize a real-world high-throughput waste sorting facility.
1 code implementation • 6 Jul 2023 • Abhijeet Pendyala, Justin Dettmer, Tobias Glasmachers, Asma Atamna
It is sufficiently versatile to evaluate reinforcement learning algorithms on any real-world problem that fits our resource allocation framework.
no code implementations • 13 Nov 2020 • Riad Akrour, Asma Atamna, Jan Peters
We then propose an optimization algorithm that follows the gradient of the composition of the objective and the projection and prove its convergence for linear objectives and arbitrary convex and Lipschitz domain defining inequality constraints.
no code implementations • HAL archives-ouvertes 2019 • Asma Atamna, Nataliya Sokolovska, Jean-Claude Crivello
In this work, we present a novel and simple convolutional neural network architecture for supervised learning on graphs that is provably invariant to node permutation.
Ranked #1 on Graph Classification on HYDRIDES