Andriy Drozdyuk


I was born in Ukraine. I finished high school in Toronto, Canada after which I got my bachelors in Computer Science at University of Toronto. I received my masters in Computer Science at University of New Brunswick, Fredericton, Canada. Presently I’m enrolled in PhD at Carleton University in Ottawa, Canada.


Upside Down Reinforcement Learning implementation based on 2019 Juergen Schmidhuber paper:


Scott Buffett, Michael Fleming and Andriy Drozdyuk “Incremental Sequential Rule Mining with Streaming Input Traces”, Canadian AI (2020)

We propose an algorithm that makes use of previous intelligence when processing new information. This requires a slight reformulation of the problem and the solution. In the end, we show that our algorithm, on average, outperforms the existing approaches when applied to unbounded data.

Lioutas, Vasileios and Andriy Drozdyuk. “Copy this Sentence.” ArXiv abs/1905.09856 (2019)
Attention is an operation that selects some largest element from some set, where the notion of largest is defined elsewhere. Applying this operation to sequence to sequence mapping results in significant improvements to the task at hand. In this paper we provide the mathematical definition of attention and examine its application to sequence to sequence models. We highlight the exact correspondences between machine learning implementations of attention and our mathematical definition. We provide clear evidence of effectiveness of attention mechanisms evaluating models with varying degrees of attention on a very simple task: copying a sentence. We find that models that make greater use of attention perform much better on sequence to sequence mapping tasks, converge faster and are more stable.