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Hi there 👋, My name is ✨ Reda Elmarhouch ✨,

I'm a Moroccan Data Engineering Student at ESI Rabat🎓, Currently on a data science internship 🔭.

I'm a data science enthousiast and a competitive programmer.

Project Cell Head at CODE ESI

🤔 If you wanna know more about me here is My Online Portfolio.

💬 The best way to contact me is on My LinkedIn Profile

📫 You can also email me at [email protected]

Reda Elmarhouch's Projects

informarl icon informarl

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

jint_paper_codes icon jint_paper_codes

Algorithm applied to solve three-tiered optimization problem of UGV and UAV routing. This is a part of our research work https://rdcu.be/cVNpM published in Journal of Intelligent and Robotic Systems (JINT).

marl-papers icon marl-papers

Paper list of multi-agent reinforcement learning (MARL)

maroc_covid_api icon maroc_covid_api

This is just a simple API tracker for covid-19 latest information for eleminated, recovered, confirmed and deaths cases in morocco. you can try it here

multi-agent_sim icon multi-agent_sim

This project implements various multi-agent coordination techniques.

multi-robot-formation-control-using-deep-reinforcement-learning icon multi-robot-formation-control-using-deep-reinforcement-learning

A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader agent by keeping track of a certain distance to that leader, avoiding obstacles, and avoiding collision with the other agents.

pyflyt icon pyflyt

UAV Flight Simulator Gymnasium Environments

q_learning_particle icon q_learning_particle

(in development). Implementation of Neural Dyna Q-Learning. See abstract in README file.

quadcopter_multi icon quadcopter_multi

(Complete). An open-architecture multi-agent quadcopter simulator. We implement a few modern techniques for improving the performance of aerial vehicles, including reinforcement learning and shifting planar inequalities for obstacle avoidance.

robotics icon robotics

This contains assignments of the Robotics course

shepherding icon shepherding

(In development). This project implements shepherding for a group of dynamic agents.

stockmarkertrackerapiclient icon stockmarkertrackerapiclient

The Moroccan Stock Market Tracker, a dashboard using a REST api to get the latest data from the Moroccan Stock Market Directly from Casablanca Stock Market.

tensorflow-yolov4-tflite icon tensorflow-yolov4-tflite

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

vectorizedmultiagentsimulator icon vectorizedmultiagentsimulator

VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

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