Microsoft & Princeton’s Surprising Discovery: Text-Game Agents Achieve High Scores in Complete Absence of Semantics
A research team from Princeton University and Microsoft Research discover autonomous language-understanding agents are capable of achieving high scores even in the complete absence of language semantics, indicating that current RL agents for text-based games might not be sufficiently leveraging the semantic structure of game texts.
