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20142023
most citedNarrative Planning: Balancing Plot and Character

536 citations · 2k across the 52 of their papers we have counts for

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Showing 2019Show all

15 papers · 1 filter

cs.AI2019★ 10 cited

Learning Norms from Stories: A Prior for Value Aligned Agents

Spencer Frazier, Md Sultan Al Nahian, Mark Riedl +1

Value alignment is a property of an intelligent agent indicating that it can only pursue goals and activities that are beneficial to humans. Traditional approaches to value alignme…

cs.AI2019★ 8 cited

Integrating Automated Play in Level Co-Creation

Andrew Hoyt, Matthew Guzdial, Yalini Kumar +2

In level co-creation an AI and human work together to create a video game level. One open challenge in level co-creation is how to empower human users to ensure particular qualitie…

cs.CL2019★ 2 cited

Automated Let's Play Commentary

Shukan Shah, Matthew Guzdial, Mark O. Riedl

Let's Plays of video games represent a relatively unexplored area for experimental AI in games. In this short paper, we discuss an approach to generate automated commentary for Let…

cs.CL2019★ 8 cited

Toward Automated Quest Generation in Text-Adventure Games

Prithviraj Ammanabrolu, William Broniec, Alex Mueller +2

Interactive fictions, or text-adventures, are games in which a player interacts with a world entirely through textual descriptions and text actions. Text-adventure games are typica…

cs.CL2019★ 14 cited

Story Realization: Expanding Plot Events into Sentences

Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung +4

Neural network based approaches to automated story plot generation attempt to learn how to generate novel plots from a corpus of natural language plot summaries. Prior work has sho…

cs.CL2019

Transfer in Deep Reinforcement Learning using Knowledge Graphs

Prithviraj Ammanabrolu, Mark O. Riedl

Text adventure games, in which players must make sense of the world through text descriptions and declare actions through text descriptions, provide a stepping stone toward groundi…