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Consider an $$n+1$$ dimensional matrix as follows: $$ A = \begin{pmatrix} \frac{\pi^2}{6} & 1 & \frac{1}{4} & ... & \frac{1}{n^2} \\ 1 & \frac{\pi^2}{6} & \frac{1}{4} & ... & \frac{1}{n^2} \\ \vdots & …

This blog post summarizes the papers Settling the Reward Hypothesis1 and Utility Theory for Sequential Decision Making 2. The reward hypothesis is at the core of Reinforcement Learning (RL) in that …

Recent news of the SpaceX catching its Starship Super Heavy booster1 is quite discussed and marveled upon in the media, and rightly so. Executing what was done can perhaps be explained as trying to …

This is my attempt to try to motivate and justify why I am studying what I study, and to try to justify the title of my dissertation. While most emphasis on safety has been provided from a …

I often wonder why the “cutting edge” research that we read about in the foremost scientific journals & conferences in Control Systems are never applied in the industry. Because …

Almost always we hear about classification or machine learning problems, the go-to methods to solve the problem are neural networks, or multi-layered percetrons (MLP). Now function approximation …