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Jun 9, 2020 neurosymbolic summary
Types of Neuro-Symbolic Systems

I attended the AAAI 2020 conference in NY, and one of the most influencing talk in that conference (for me, of course!) was the address by Prof. Henry Kautz on The Third AI Summer. In that talk, he provided some taxonomy for the future Neural and Symbolic approaches. This article is my attempt to summarize that taxonomy.
May 24, 2020 causal summary
Tools for Causal Inference

I read the Book of Why last year and recently in the reading group at Starling lab we read the 7 Tools of causal inference by Prof. Pearl. I was a little taken by how much I have forgotten about causal inference. So I found the need to jolt down my understanding, so I can refer to it later. This article summarized my current understanding of the tools presented in the paper, based on the paper and the book.
Dec 6, 2019 RL offline summary
Fitted Q and Batch Reinforcement Learning

Some pointers on Batch Reinforcement Learning and Fitted Q. These were gathered while working on an RL for healthcare project, as part of Advanced RL course by Prof. Sriraam Natarajan.