Dominik Meyer

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Structured Environments in Reinforcement Learning

In many machine learning tasks the structure of the problem plays a big role in the performance of the learning algorithm. Detecting and exploiting structure in such settings can be beneficial to the performance of learning algorithms. In this article I will give a few thoughts on structure and symmetries in reinforcement learning problems.

Well, upon writing this article, it ocurred to me, that the abstract of the article will very likely be shorter than the article itself. That is due to the fact, that I summarized the thougts a while ago in form of a pdf document already. The report be downloaded here.

Later a student, Özlem, did look further in the problems of structure in reinforcement learning and conducted expereiments within the game of tic-tac-toe. The results she acquired can be studied in her project report.