Abstract:
An ADAM artificial psyche model implementing a hierarchical deep reinforcement learning architecture is proposed. ADAM is able to learn increasingly complex and time-consuming behavioral skills as the number of artificial psyche control levels increases. Purposeful behavior is formed by a hierarchical learning system with a gradual increase in the number of levels, where each hierarchical level is responsible for its own time scale of behavior.
Keywords:general artificial intelligence, deep reinforcement learning, hierarchical control system.