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02/01/2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI
Explainable AI (XAI) systems are sociotechnical in nature; thus, they ar...
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01/16/2023
Neuro-Symbolic World Models for Adapting to Open World Novelty
Open-world novelty–a sudden change in the mechanics or properties of an ...
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12/16/2022
Neural Story Planning
Automated plot generation is the challenge of generating a sequence of e...
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11/12/2022
Seamful XAI: Operationalizing Seamful Design in Explainable AI
Mistakes in AI systems are inevitable, arising from both technical limit...
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11/11/2022
Social Construction of XAI: Do We Need One Definition to Rule Them All?
There is a growing frustration amongst researchers and developers in Exp...
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10/11/2022
The Role of Exploration for Task Transfer in Reinforcement Learning
The exploration–exploitation trade-off in reinforcement learning (RL) is...
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10/10/2022
Experiential Explanations for Reinforcement Learning
Reinforcement Learning (RL) approaches are becoming increasingly popular...
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06/03/2022
The Algorithmic Imprint
When algorithmic harms emerge, a reasonable response is to stop using th...
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12/16/2021
Inherently Explainable Reinforcement Learning in Natural Language
We focus on the task of creating a reinforcement learning agent that is ...
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12/16/2021
Guiding Neural Story Generation with Reader Models
Automated storytelling has long captured the attention of researchers fo...
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12/16/2021
Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learning
The advent of large pre-trained generative language models has provided ...
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10/07/2021
Situated Dialogue Learning through Procedural Environment Generation
We teach goal-driven agents to interactively act and speak in situated e...
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09/26/2021
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI
To make Explainable AI (XAI) systems trustworthy, understanding harmful ...
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07/28/2021
The Who in Explainable AI: How AI Background Shapes Perceptions of AI Explanations
Explainability of AI systems is critical for users to take informed acti...
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06/17/2021
Learning Knowledge Graph-based World Models of Textual Environments
World models improve a learning agent's ability to efficiently operate i...
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06/17/2021
Modeling Worlds in Text
We provide a dataset that enables the creation of learning agents that c...
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06/04/2021
Detecting and Adapting to Novelty in Games
Open-world novelty occurs when the rules of an environment can change ab...
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05/31/2021
Telling Stories through Multi-User Dialogue by Modeling Character Relations
This paper explores character-driven story continuation, in which the st...
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04/15/2021
LEx: A Framework for Operationalising Layers of Machine Learning Explanations
Several social factors impact how people respond to AI explanations used...
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03/18/2021
Situated Language Learning via Interactive Narratives
This paper provides a roadmap that explores the question of how to imbue...
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01/12/2021
Expanding Explainability: Towards Social Transparency in AI systems
As AI-powered systems increasingly mediate consequential decision-making...
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09/02/2020
Automated Storytelling via Causal, Commonsense Plot Ordering
Automated story plot generation is the task of generating a coherent seq...
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06/12/2020
How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds
Text-based games are long puzzles or quests, characterized by a sequence...
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02/19/2020
How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents
Text-based games – in which an agent interacts with the world through te...
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02/04/2020
Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach
Explanations–a form of post-hoc interpretability–play an instrumental ro...
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01/28/2020
Bringing Stories Alive: Generating Interactive Fiction Worlds
World building forms the foundation of any task that requires narrative ...
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11/20/2019
Integrating Automated Play in Level Co-Creation
In level co-creation an AI and human work together to create a video gam...
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09/13/2019
Toward Automated Quest Generation in Text-Adventure Games
Interactive fictions, or text-adventures, are games in which a player in...
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09/08/2019
Story Realization: Expanding Plot Events into Sentences
Neural network based approaches to automated story plot generation attem...
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09/05/2019
Automated Let's Play Commentary
Let's Plays of video games represent a relatively unexplored area for ex...
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08/19/2019
Transfer in Deep Reinforcement Learning using Knowledge Graphs
Text adventure games, in which players must make sense of the world thro...
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08/04/2019
Monte-Carlo Tree Search for Simulation-based Strategy Analysis
Games are often designed to shape player behavior in a desired way; howe...
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08/04/2019
Automatic Game Design via Mechanic Generation
Game designs often center on the game mechanics---rules governing the lo...
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08/04/2019
Automatic Playtesting for Game Parameter Tuning via Active Learning
Game designers use human playtesting to gather feedback about game desig...
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01/31/2019
Human-Centered Artificial Intelligence and Machine Learning
Humans are increasingly coming into contact with artificial intelligence...
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12/04/2018
Playing Text-Adventure Games with Graph-Based Deep Reinforcement Learning
Text-based adventure games provide a platform on which to explore reinfo...
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09/27/2018
Controllable Neural Story Generation via Reinforcement Learning
Open story generation is the problem of automatically creating a story f...
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05/09/2018
Creative Invention Benchmark
In this paper we present the Creative Invention Benchmark (CrIB), a 2000...
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02/10/2018
Combinets: Learning New Classifiers via Recombination
Problems with few examples of a new class of objects prove challenging t...
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09/12/2017
Explore, Exploit or Listen: Combining Human Feedback and Policy Model to Speed up Deep Reinforcement Learning in 3D Worlds
We describe a method to use discrete human feedback to enhance the perfo...
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07/26/2017
Guiding Reinforcement Learning Exploration Using Natural Language
In this work we present a technique to use natural language to help rein...
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06/05/2017
Event Representations for Automated Story Generation with Deep Neural Nets
Automated story generation is the problem of automatically selecting a s...
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03/30/2017
Enter the Matrix: A Virtual World Approach to Safely Interruptable Autonomous Systems
Robots and autonomous systems that operate around humans will likely alw...
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02/25/2017
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations
We introduce AI rationalization, an approach for generating explanations...
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02/21/2016
Computational Narrative Intelligence: A Human-Centered Goal for Artificial Intelligence
Narrative intelligence is the ability to craft, tell, understand, and re...
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10/22/2014