Paper Group AWR 60
May 7, 2019
Learning Deep Embeddings with Histogram Loss. Formal Definitions of Unbounded Evolution and Innovation Reveal Universal Mechanisms for Open-Ended Evolution in Dynamical Systems. Pose-Selective Max Pooling for Measuring Similarity. Learning to learn by gradient descent by gradient descent. Recurrent Memory Array Structures. Minimum Regret Search for …