NAIL: A General Interactive Fiction Agent

  • Matthew Hausknecht ,
  • ,
  • Greg Yang ,
  • Adith Swaminathan ,
  • Jason Williams

arXiv: Machine Learning |

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Interactive Fiction (IF) games are complex textual decision making problems. This paper introduces NAIL, an autonomous agent for general parser-based IF games. NAIL won the 2018 Text Adventure AI Competition, where it was evaluated on twenty unseen games. This paper describes the architecture, development, and insights underpinning NAIL’s performance.

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NAIL Agent

July 2, 2019

NAIL agent provides the source code for an agent which won the 2018 Text-Based Adventure AI Competition. The repository will be also used to release further improvements as we developed better RL approaches to the text games domain.