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NAIL: A General Interactive Fiction Agent

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arxiv 1902.04259 v2 pith:AJKUAPQA submitted 2019-02-12 cs.AI

Matthew Hausknecht , Ricky Loynd , Greg Yang , Adith Swaminathan , Jason D. Williams This is my paper · ORCID
classification cs.AI
keywords nailgamesagentfictiongeneralinteractiveadventurearchitecture
verification ladder T0 review T1 audit T2 compute T3 formal
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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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Cited by 1 Pith paper

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  1. Transfer in Deep Reinforcement Learning using Knowledge Graphs

    cs.CL 2019-08 conditional novelty 5.0 of 10

    Knowledge graph seeding, question-answering pretraining, and source-to-target network initialization improve deep Q-learning agents on text-adventure games compared to training from scratch.

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