Reinforcement Learning under Partial Observability Guided by Learned Environment Models

Edi Muskardin, Martin Tappler, Bernhard K. Aichernig +1

In practical applications, we can rarely assume full observability of a system's environment, despite such knowledge being important for determining a reactive control system's pre…