Demonstration-Efficient-AIRL. A technique based on Adversarial Inverse Reinforcement Learning (AIRL) which can significantly decrease the need for expert demonstrations in PCG games. Through the use of an environment with a limited set of initial seed levels, DE-AIRL is demonstration-efficient and able to extrapolate reward functions which generalize to the fully PCG domain.

Problem

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Audience

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Market

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Pricing

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