Find the official repository for Int-HRL: Towards Intention-based Hierarchical Reinforcement Learning at https://git.hcics.simtech.uni-stuttgart.de/public-projects/Int-HRL
Int-HRL uses eye gaze from human demonstration data on the Atari game Montezuma's Revenge to extract human player's intentions and converts them to sub-goals for Hierarchical Reinforcement Learning (HRL). For further details take a look at the corresponding paper.