80 citations · 209 across the 33 of their papers we have counts for
10 papers · 1 filter
Neural Story Planning
Anbang Ye, Christopher Cui, Taiwei Shi +1
Automated plot generation is the challenge of generating a sequence of events that will be perceived by readers as the plot of a coherent story. Traditional symbolic planners plan…
Machine Learning Approaches for Principle Prediction in Naturally Occurring Stories
Md Sultan Al Nahian, Spencer Frazier, Brent Harrison +1
Value alignment is the task of creating autonomous systems whose values align with those of humans. Past work has shown that stories are a potentially rich source of information on…
Social Construction of XAI: Do We Need One Definition to Rule Them All?
Upol Ehsan, Mark O. Riedl
There is a growing frustration amongst researchers and developers in Explainable AI (XAI) around the lack of consensus around what is meant by 'explainability'. Do we need one defi…
The Role of Exploration for Task Transfer in Reinforcement Learning
Jonathan C Balloch, Julia Kim, and Jessica L Inman +1
The exploration--exploitation trade-off in reinforcement learning (RL) is a well-known and much-studied problem that balances greedy action selection with novel experience, and the…
Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning
Louis Castricato, Alexander Havrilla, Shahbuland Matiana +5
Controlled automated story generation seeks to generate natural language stories satisfying constraints from natural language critiques or preferences. Existing methods to control…
Experiential Explanations for Reinforcement Learning
Amal Alabdulkarim, Madhuri Singh, Gennie Mansi +3
Reinforcement learning (RL) systems can be complex and non-interpretable, making it challenging for non-AI experts to understand or intervene in their decisions. This is due in par…
Creative Wand: A System to Study Effects of Communications in Co-Creative Settings
Zhiyu Lin, Rohan Agarwal, Mark Riedl
Recent neural generation systems have demonstrated the potential for procedurally generating game content, images, stories, and more. However, most neural generation algorithms are…
The Algorithmic Imprint
Upol Ehsan, Ranjit Singh, Jacob Metcalf +1
When algorithmic harms emerge, a reasonable response is to stop using the algorithm to resolve concerns related to fairness, accountability, transparency, and ethics (FATE). Howeve…
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes
Kaige Xie, Sarah Wiegreffe, Mark Riedl
Multi-hop Question Answering (QA) is a challenging task since it requires an accurate aggregation of information from multiple context paragraphs and a thorough understanding of th…
NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty
Jonathan Balloch, Zhiyu Lin, Mustafa Hussain +5
A robust body of reinforcement learning techniques have been developed to solve complex sequential decision making problems. However, these methods assume that train and evaluation…