Learning to generalize Dispatching rules on the Job Shop Scheduling

1 code implementation • 9 Jun 2022 • Zangir Iklassov, Dmitrii Medvedev, Ruben Solozabal, Martin Takac

Current models on the JSP do not focus on generalization, although, as we show in this work, this is key to learning better heuristics on the problem.

Job Shop Scheduling Scheduling

AI for Porosity and Permeability Prediction from Geologic Core X-Ray Micro-Tomography

1 code implementation • 26 May 2022 • Zangir Iklassov, Dmitrii Medvedev, Otabek Nazarov, Shakhboz Razzokov

With the development of deep learning, scientists actively started working on developing machine-learning-based approaches to identify physical properties without any manual experiments.

BIG-bench Machine Learning

GARDNet: Robust Multi-View Network for Glaucoma Classification in Color Fundus Images

1 code implementation • 25 May 2022 • Ahmed Al Mahrooqi, Dmitrii Medvedev, Rand Muhtaseb, Mohammad Yaqub

Glaucoma is one of the most severe eye diseases, characterized by rapid progression and leading to irreversible blindness.

Robust Reinforcement Learning on Graphs for Logistics optimization

no code implementations • 25 May 2022 • Zangir Iklassov, Dmitrii Medvedev

Keywords: Graph Neural Network (GNN), Logistics optimization, Reinforcement Learning

reinforcement-learning Reinforcement Learning (RL)