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Recent advancements in natural language and Large Language Models (LLMs) have enabled AI agents to simulate human-like interactions within virtual worlds.
dungeons & dragons
Gary Gygax and Dave Arneson · 1974
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Savage worlds
Shane Lacy Hensley, Clint Black, et al · 2008
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Pathfinder Roleplaying Game: Advanced Player’s Guide
Jason Bulmahn · 2010
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The call of Cthulhu
Howard Phillips Lovecraft · 2016
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Deep dungeons and dragons: Learning character-action interactions from role-playing game transcripts
Annie Louis and Charles Sutton · 2018
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Dungeons and dqns: Toward reinforcement learning agents that play tabletop roleplaying games
Lara J Martin, Srijan Sood, and Mark O Riedl · 2018
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Quality signals in generated stories
Manasvi Sagarkar, John Wieting, Lifu Tu, and Kevin Gimpel · 2018
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Decoding methods for neural narrative generation
Alexandra DeLucia, Aaron Mueller, Xiang Lisa Li, and João Sedoc · 2020
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Telling stories through multi-user dialogue by modeling character relations
Wai Man Si, Prithviraj Ammanabrolu, and Mark Riedl · 2021
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A survey for in-context learning
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Towards reasoning in large language models: A survey
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Large language models are zero-shot reasoners
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Ontologically faithful generation of non-player character dialogues
Nathaniel Weir, Ryan Thomas, Randolph D’Amore, Kellie Hill, Benjamin Van Durme, and Harsh Jhamtani · 2022
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A review of evaluation practices of gesture generation in embodied conversational agents
Pieter Wolfert, Nicole Robinson, and Tony Belpaeme · 2022
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Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, and Prithviraj Ammanabrolu · 2022
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig · 2023
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Training socially aligned language models in simulated human society
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Seeg: Semantic energized co-speech gesture generation
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Generating descriptive and rules-adhering spells for dungeons & dragons fifth edition
Pax Newman and Yudong Liu · 2022
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, and Denny Zhou · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
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Ruibo Liu, Ruixin Yang, Chenyan Jia, Ge Zhang, Denny Zhou, Andrew M Dai, Diyi Yang, and Soroush Vosoughi · 2023
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Generative agents: Interactive simulacra of human behavior
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
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Fireball: A dataset of dungeons and dragons actual-play with structured game state information
Andrew Zhu, Karmanya Aggarwal, Alexander Feng, Lara J Martin, and Chris Callison-Burch · 2023
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