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Mirror-Reversal and Rotation Tasks
The dataset used in the paper is a set of mirror-reversal and rotation tasks, used to test the performance of different reinforcement learning algorithms. -
dSprites dataset
The dataset used in the paper is the dSprites dataset, which contains 2D-shape binary images with a size of 64×64, synthetically generated with five independent factors: shape... -
Sprites dataset
The dataset consists of binary images of sprites with variations in the shape (oval, square, and heart) and four geometric factors: scale (6 variation modes), rotation (40), and... -
MNIST Dataset
The MNIST dataset (Lecun et al., 1998), which consists of 60,000 gray-scale images of handwritten digits. Each image has an accompanying label in {0, 1,..., 9}, and is stored as...