Time: 09:00 – 22:00
Location: TU/e, Auditorium
Teams: 3-5 people
Prior knowledge and preparation
On the Hackaday itself you will need to make use of the Pycman package made by Team Serpentine.
To keep things fair you can download the package here to get familiar with it.
The zip file contains Pycman, some instructions for booting the package and a small manual. It is advised to take a look at it beforehand, since this is also the package used on the hackaday itself.
(ps. read the readme ;p)
Pycman package download:
To really shine on the Hackaday it is advised to have or do up some knowledge on reinforcement learning and how to build a neural net. A basic version of an AI will be given and how high you score will be based on how much you can improve it. The Atari games will be run in OpenAI Gym and algorithms will be implemented using the Pycman package. If you missed the masterclass, check out the following tutorial:
Jupiter notebook tutorial reinforcement learning:
We’ve also concocted a document containing helpful tutorials that we thought will be usefull in preparation for the Hackaday.