• Video of the Game: https://www.youtube.com/watch?v=5mDjFdetU28
• Video of a Algorithm based Player https://www.youtube.com/watch?v=EUxRYix2aaM

Let the computer play the game.

• Vision Based, the only input it the screen image. The game is controled via keyboard emulation.
• Use a deep learning framework to train a artificial player.
• Compare different aproaches. In tearms of leaning rate and success.
  • Superviced Learning
  • Reinforcement Learning
  • Algorithmic Aproach
• Compare the influence of preprocessing steps e.g.
  • Raw image
  • Polar Transformation
  • Rotated (player has fixed position)

• Create/Extend the current test framework.
  • Automatically Start the game
  • Evaluate the reuslts
  • Compare different Implementations
  • Robustness
• Select a sutable machine learning framework
• Collect data from human play and algorithm based implementation
• Train a Learing model
• Imporve on debug and Analytics tools.
• Iterate on the design
• Collect and analyze the Result