ALP-GMM
Absolute Learning Progress and Gaussian Mixture Models for Automatic Curriculum Learning
Description
ALP-GMM is is an algorithm that learns to generate a learning curriculum for black box reinforcement learning agents, whereby it sequentially samples parameters controlling a stochastic procedural generation of tasks or environments.