  In this extended abstract we discuss the opportunities and challenges of
studying intrinsically-motivated agents for exploration in textual
environments. We argue that there is important synergy between text
environments and autonomous agents. We identify key properties of text worlds
that make them suitable for exploration by autonmous agents, namely, depth,
breadth, progress niches and the ease of use of language goals; we identify
drivers of exploration for such agents that are implementable in text worlds.
We discuss the opportunities of using autonomous agents to make progress on
text environment benchmarks. Finally we list some specific challenges that need
to be overcome in this area.
