Title:
Story Generation with Deep Reinforcement Learning

Thumbnail Image
Author(s)
Dass, Nathan
Authors
Advisor(s)
Riedl, Mark O.
Advisor(s)
Editor(s)
Associated Organization(s)
Organizational Unit
Organizational Unit
Supplementary to
Abstract
Storytelling has applications in areas ranging from creating books and novels to engrossing movie scripts to the gaming industry. It would be useful to create interactive plot lines for games, motivate mission generation, and ordering of events for different characters. In the military, we can make the system learn from thousands of written real-world events, incidents, and missions to create interactive simulations to train army personnel. We introduce a deep reinforcement learning approach to story generation trained on a textual story corpus. Unlike other neural network based approaches to story generation, a reward function allows a human user to control the direction that the story follows.
Sponsor
Date Issued
2017-12
Extent
Resource Type
Text
Resource Subtype
Undergraduate Thesis
Rights Statement
Rights URI