Amazon Web Services - Cited by 2988 - Reinforcement Learning - Deep Learning - Machine Learning - Computer Vision - Optimization
I will be interning with the Cognition AI group working with Pushmeet Kohli and Rishabh Singh at Microsoft Research, Redmond, WA.
Education · The University of Texas at Arlington Graphic · The University of Texas at Arlington. Ph.D. in machine learning and reinforcement learning.
Rasool Fakoor
Research interests: Reinforcement Learning, Deep Learning, Machine Learning, and more
Quantum computers have the potential to outperform classical computers in important tasks such as optimization and number factoring.
Research in RL & ML at AWS AI.
Publications · Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens · AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web ...
Oct 8, 2024 · Authors · Jobs · Seminars · Conferences. More... Rasool Fakoor. Author Identifier: R.Fakoor.1. edit. Updated on Oct 8, 2024. Research works(1).
This repository contains codes for a small deep learning techniques such as Restricted Boltzmann Machines, Autoencoder, Denoising Autoencoder, Feed Forward ...
Researcher, Amazon Web Services (amazon.com), 2018 – Present. Research Intern, Microsoft Research (microsoft.com), 2016 – 2017. PhD student, University of ...