Learning High-level Representations from Demonstrations

Garrett Andersen, Peter Vrancx, Haitham Bou-Ammar

Hierarchical learning (HL) is key to solving complex sequential decision problems with long horizons and sparse rewards. It allows learning agents to break-up large problems into s…