Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning

1 code implementation • 28 Aug 2023 • Binqi Sun, Mirco Theile, Ziyuan Qin, Daniele Bernardini, Debayan Roy, Andrea Bastoni, Marco Caccamo

Using this schedulability test, we propose a new DAG scheduling framework (edge generation scheduling -- EGS) that attempts to minimize the DAG width by iteratively generating edges while guaranteeing the deadline constraint.

reinforcement-learning Scheduling

Learning to Generate All Feasible Actions

no code implementations • 26 Jan 2023 • Mirco Theile, Daniele Bernardini, Raphael Trumpp, Cristina Piazza, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli

Several machine learning (ML) applications are characterized by searching for an optimal solution to a complex task.

6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic Grasping

1 code implementation • 30 Aug 2022 • Hongpeng Cao, Lukas Dirnberger, Daniele Bernardini, Cristina Piazza, Marco Caccamo

To overcome this gap, we introduce 6IMPOSE, a novel framework for sim-to-real data generation and 6D pose estimation.

6D Pose Estimation Robotic Grasping