A Review of Deep Reinforcement Learning in Serverless Computing: Function Scheduling and Resource Auto-Scaling

no code implementations • 5 Oct 2023 • Amjad Yousef Majid, Eduard Marin

Our analysis reveals that DRL, with its ability to learn and adapt from an environment, shows promising results in improving the efficiency of function scheduling and resource scaling in serverless computing.

Benchmarking Multi-agent Reinforcement Learning +2

Covy: An AI-powered Robot with a Compound Vision System for Detecting Breaches in Social Distancing

no code implementations • 14 Jul 2022 • Serge Saaybi, Amjad Yousef Majid, R Venkatesha Prasad, Anis Koubaa, Chris Verhoeven

This paper introduces a compound vision system that enables robots to localize people up to 15m away using a cheap camera.

Reinforcement Learning (RL)

Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey

no code implementations • 28 Sep 2021 • Amjad Yousef Majid, Serge Saaybi, Tomas van Rietbergen, Vincent Francois-Lavet, R Venkatesha Prasad, Chris Verhoeven

Deep Reinforcement Learning (DRL) and Evolution Strategies (ESs) have surpassed human-level control in many sequential decision-making problems, yet many open challenges still exist.

Decision Making reinforcement-learning +1