Toward Learning POMDPs Beyond Full-Rank Actions and State Observability

Seiji Shaw, Travis Manderson, Chad Kessens +1

We are interested in enabling autonomous agents to learn and reason about systems with hidden states, such as locking mechanisms. We cast this problem as learning the parameters of…