Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes

no code implementations • 17 Jul 2020 • Yoni Birman, Ziv Ido, Gilad Katz, Asaf Shabtai

In this study we present MERLIN, a robust, modular and near-optimal DRL-based approach for multi-objective task scheduling.

Position reinforcement-learning +2

Transferable Cost-Aware Security Policy Implementation for Malware Detection Using Deep Reinforcement Learning

no code implementations • 25 May 2019 • Yoni Birman, Shaked Hindi, Gilad Katz, Asaf Shabtai

This security policy is then implemented, and for each inspected file, a different set of detectors is assigned and a different detection threshold is set.

Malware Detection reinforcement-learning +1