Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning

Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, Shiyu Chang


Abstract
Interactive Fiction (IF) games with real human-written natural language texts provide a new natural evaluation for language understanding techniques. In contrast to previous text games with mostly synthetic texts, IF games pose language understanding challenges on the human-written textual descriptions of diverse and sophisticated game worlds and language generation challenges on the action command generation from less restricted combinatorial space. We take a novel perspective of IF game solving and re-formulate it as Multi-Passage Reading Comprehension (MPRC) tasks. Our approaches utilize the context-query attention mechanisms and the structured prediction in MPRC to efficiently generate and evaluate action outputs and apply an object-centric historical observation retrieval strategy to mitigate the partial observability of the textual observations. Extensive experiments on the recent IF benchmark (Jericho) demonstrate clear advantages of our approaches achieving high winning rates and low data requirements compared to all previous approaches.
Anthology ID:
2020.emnlp-main.624
Volume:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Month:
November
Year:
2020
Address:
Online
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
7755–7765
Language:
URL:
https://aclanthology.org/2020.emnlp-main.624
DOI:
10.18653/v1/2020.emnlp-main.624
Bibkey:
Cite (ACL):
Xiaoxiao Guo, Mo Yu, Yupeng Gao, Chuang Gan, Murray Campbell, and Shiyu Chang. 2020. Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 7755–7765, Online. Association for Computational Linguistics.
Cite (Informal):
Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning (Guo et al., EMNLP 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.emnlp-main.624.pdf
Optional supplementary material:
 2020.emnlp-main.624.OptionalSupplementaryMaterial.zip
Video:
 https://slideslive.com/38939145
Code
 XiaoxiaoGuo/rcdqn
Data
Jericho