Search Results for author: Matthew Siper

Found 2 papers, 0 papers with code

Controllable Path of Destruction

no code implementations29 May 2023 Matthew Siper, Sam Earle, Zehua Jiang, Ahmed Khalifa, Julian Togelius

The PoD method is very data-efficient in terms of original training examples and well-suited to functional artifacts composed of categorical data, such as game levels and discrete 3D structures.

Path of Destruction: Learning an Iterative Level Generator Using a Small Dataset

no code implementations21 Feb 2022 Matthew Siper, Ahmed Khalifa, Julian Togelius

The Path of Destruction method, as we call it, views level generation as repair; levels are created by iteratively repairing from a random starting level.

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