A Survey of Text Games for Reinforcement Learning Informed by Natural Language

AbstractReinforcement Learning has shown success in a number of complex virtual environments. However, many challenges still exist towards solving problems with natural language as a core component. Interactive Fiction Games (or Text Games) are one such problem type that offer a set...

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Bibliographic Details
Main Authors: Philip Osborne, Heido Nõmm, André Freitas
Format: Article
Language:English
Published: The MIT Press 2022-01-01
Series:Transactions of the Association for Computational Linguistics
Online Access:https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00495/112801/A-Survey-of-Text-Games-for-Reinforcement-Learning