Explaining Agent's Decision-making in a Hierarchical Reinforcement Learning Scenario

no code implementations • 14 Dec 2022 • Hugo Muñoz, Ernesto Portugal, Angel Ayala, Bruno Fernandes, Francisco Cruz

The results obtained showed that it is possible to use the memory-based method in hierarchical environments with high-level tasks and compute the probabilities of success to be used as a basis for explaining the agent's behavior.

Decision Making Hierarchical Reinforcement Learning +2