Reda Elmarhouch (RedaElmar)

RedaElmar

Geek Repo

Company:School of Information Sciences [ ESI ]

Location:Rabat, Morocco

Home Page:elmarhouch.ml

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Organizations
BnademOverflow
codesi-club

Reda Elmarhouch's repositories

MoroccanStockMarketAPI

This Repository is for A first Moroccan Stock Market API

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BnademOverflow

BnademOverFlow's Official Website

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BnademOverflow-Community

Community list of BnademOverFlow members đź‘˝

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

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multi-agent_sim

This project implements various multi-agent coordination techniques.

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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.

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rasa-chat-bot

development of a rasa chatbot on google colab

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WIKNWINTL

What I Know And What I Need To Learn

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WOC-certificate-generator-Hactoberfest2021

An automatic certificate generator and emailer , web application

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aenemapyrepo

Kodi repo

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Boids

Simulate swarm behavior of boids under the influence of predetors hunting them.

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HetGPPO

Heterogeneous Multi-Robot Reinforcement Learning

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InforMARL

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

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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).

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MARL-Papers

Paper list of multi-agent reinforcement learning (MARL)

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PyFlyt

UAV Flight Simulator Gymnasium Environments

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Q_learning_particle

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

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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.

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reinforcement-learning

Personal experiments on Reinforcement Learning

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Robotics

This contains assignments of the Robotics course

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shepherding

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

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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.

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tensorflow-yolov4-tflite

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

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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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yolov4-custom-functions

A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.

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