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ml-workshop-pong's Introduction

Material from the "Lets design neural networks for playing" pong workshop offered at the "Forschungstage Informatik 2023" in Saarbrücken.

The workshop consists of two parts:

  1. Understanding how neural networks structures change their learning behaviour (using the tensorflow playground).
  2. Implementing core components required for training pong with a deep reinforcement learning algorithm.

Note that the workshop as given contains multiple discussion rounds.

You will soon be able to access the slides, the instructor guidelines and the workshop worksheet.

ml-workshop-pong's People

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ml-workshop-pong's Issues

Failing to close PyGame windows properly

Calling pygame.quit()does not consistently close the associated PyGame window.
The recent commit 1c388e7 fixes the PyGame window not being close when the process is interrupted by an exception.

However, there seems to be a bug in the PyGame library still preventing properly closing windows on MacOS.
On windows the behaviour is untested.

  • ensure proper closing of windows on MacOS
  • ensure proper closing of windows on Windows

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