6 datasets found

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  • Video Game Level Corpus

    The Video Game Level Corpus (VGLC) is a dataset of Mario levels used to train a Generative Adversarial Network (GAN) to generate new Mario levels.

  • Atari games

    The dataset used in the paper is a collection of game recordings from seven Atari games.

  • RGSK

    The dataset used in the paper is a collection of game recordings from human players playing the racing game RGSK.

  • TORCS, RGSK, and Atari games

    The dataset used in the paper is a collection of game recordings from various video game platforms, including TORCS, RGSK, and seven Atari games.

  • Atari Learning Environment

    The dataset used in this paper is the Atari Learning Environment (ALE) dataset, which consists of 15 Atari video games.

  • Atari Benchmark

    The Atari benchmark is a collection of video game environments with distinctly different dynamics, rewards, and agent embodiments.