Alec Koppel
About
Alec Koppel has authored 62 papers that have received a total of 636 indexed citations.
This includes 42 papers in Artificial Intelligence, 23 papers in Computer Networks and Communications and 23 papers in Computational Mechanics. The topics of these papers are Sparse and Compressive Sensing Techniques (22 papers), Stochastic Gradient Optimization Techniques (15 papers) and Reinforcement Learning in Robotics (15 papers). Alec Koppel is often cited by papers focused on Sparse and Compressive Sensing Techniques (22 papers), Stochastic Gradient Optimization Techniques (15 papers) and Reinforcement Learning in Robotics (15 papers) and collaborates with scholars based in United States, India and The Netherlands. Alec Koppel's co-authors include Alejandro Ribeiro, Amrit Singh Bedi, Ethan Stump, Ketan Rajawat and Garrett Warnell and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine
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