Policy Gradient vs. Action-value based methods Permalink
An empirical analysis on policy-gradient methods vs. action-value based methods for control
An empirical analysis on policy-gradient methods vs. action-value based methods for control
A real-time learning of an off-policy RL control algorithm on a real robot(Create2).
Published in 2016 International Conference on Computational Science and Computational Intelligence, 2016
This paper studies the performance of different classifiers on the CIFAR-10 dataset, and builds an ensemble of classifiers to reach a better performance.
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Published in ICML 2019 - Workshop on AI for Autonomous Driving, 2019
This paper introduces a real-time approach for 3D LiDAR semantic segmentation
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Published in Germany, 2019
A pending patent. file number: de 10 2019 127 283.1.
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Teaching Assistant, The American University in Cairo, Department of Computer Science, 2014
This course covers fundamentals of computer science and basics of programming taught in C++ . My role included helping students through labs and office hours.
Instructor, Alama Initiative, Egypt, 2018
I volunteered to teach deep learning concepts for a group of 20 undergrad and grad students taking Coursera’s deep-learning specialization following up with their progress throughout the courses. This was done through a student-run initiative called ‘Alama’.
Teaching Assistant, University of Alberta, Department of Computing Science, 2019
This course covers computer vision tasks with deep learning, taught with PyTorch. My role included teaching a weekly lab on computer vision with deep learning bascis, and preparing the assignments/ quizzes.
Teaching Assistant, University of Alberta, Department of Computer Science, 2020
The course tackles the basics of machine learning: material can be found on the website