Search Results for author: Ziv Ido

Found 1 papers, 0 papers with code

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

no code implementations17 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

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