Adam Zsolt Wagner (Tel Aviv University)

Constructions in combinatorics via neural networks

Recently, significant progress has been made in the area of machine learning algorithms, and they have quickly become some of the most exciting tools in a scientist’s toolbox. In particular, recent advances in the field of reinforcement learning have led computers to reach superhuman level play in Atari games and Go, purely through self-play. In this talk I will give a basic introduction to neural networks and reinforcement learning algorithms. I will also indicate how these methods can be adapted to the “game” of trying to find a counterexample to a mathematical conjecture, and show some examples where this approach was successful.

This talk will be held fully online; you are welcome to attend the talk via Zoom. The link to the zoom link will be sent later.