Open AccessA Survey of Text Games for Reinforcement Learning Informed by Natural Language
Author(s) -
Philip Osborne,
Heido Nõmm,
André Freitas
Publication year - 2022
Publication title -
transactions of the association for computational linguistics
Language(s) - English
Resource type - Journals
ISSN - 2307-387X
DOI - 10.1162/tacl_a_00495
Subject(s) - reinforcement learning , computer science , rendering (computer graphics) , set (abstract data type) , natural language understanding , reinforcement , natural language , natural (archaeology) , artificial intelligence , human–computer interaction , psychology , social psychology , archaeology , history , programming language
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