Algorithmic learning

Algorithmic learning is a branch of artificial intelligence that studies performance by analysing predictive, time and space complexities. The popular approaches are probably approximately correct learning, online learning, reinforcement learning and kernel based learning. My focus has been on online learning.

Game-theoretic learning

A game is a description of an environment where multiple decision makers interact. The decision makers are the players, and they play the game to achieve their goals. The goals of the players may align, conflict or can be some combination of the two. My focus has been on zero-sum repeated games where the environment is a triplet, consisting of input, output and a learning function.

Apllications

I am interested in research on applications of artificial intelligence systems. When I get a chance, I write about US markets on my blog and write about the practical aspects of the active project(s).