  Inspired by the cognitive science theory, we explicitly model an agent with
both semantic and episodic memory systems, and show that it is better than
having just one of the two memory systems. In order to show this, we have
designed and released our own challenging environment, "the Room", compatible
with OpenAI Gym, where an agent has to properly learn how to encode, store, and
retrieve memories to maximize its rewards. The Room environment allows for a
hybrid intelligence setup where machines and humans can collaborate. We show
that two agents collaborating with each other results in better performance
than one agent acting alone. We have open-sourced our code and models at
https://github.com/tae898/explicit-memory.
