ALP-GMM
Absolute Learning Progress and Gaussian Mixture Models for Automatic Curriculum Learning
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.
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments
https://paperswithcode.com/paper/teacher-algorithms-for-curriculum-learning-of
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments