2 citations · 2 across the 2 of their papers we have counts for
3 papers
Analyzing Neural Jacobian Methods in Applications of Visual Servoing and Kinematic Control
Michael Przystupa, Masood Dehghan, Martin Jagersand +1
Designing adaptable control laws that can transfer between different robots is a challenge because of kinematic and dynamic differences, as well as in scenarios where external sens…
Sentence-Level BERT and Multi-Task Learning of Age and Gender in Social Media
Muhammad Abdul-Mageed, Chiyu Zhang, Arun Rajendran +3
Social media currently provide a window on our lives, making it possible to learn how people from different places, with different backgrounds, ages, and genders use language. In t…
Iroko: A Framework to Prototype Reinforcement Learning for Data Center Traffic Control
Fabian Ruffy, Michael Przystupa, Ivan Beschastnikh
Recent networking research has identified that data-driven congestion control (CC) can be more efficient than traditional CC in TCP. Deep reinforcement learning (RL), in particular…