b'Mark O. Riedl'

research

∙ 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...

0 Upol Ehsan, et al. ∙

research

∙ 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 ...

0 Jonathan Balloch, et al. ∙

research

∙ 12/16/2022

Neural Story Planning

Automated plot generation is the challenge of generating a sequence of e...

0 Anbang Ye, et al. ∙

research

∙ 11/12/2022

Seamful XAI: Operationalizing Seamful Design in Explainable AI

Mistakes in AI systems are inevitable, arising from both technical limit...

0 Upol Ehsan, et al. ∙

research

∙ 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...

0 Upol Ehsan, et al. ∙

research

∙ 10/11/2022

The Role of Exploration for Task Transfer in Reinforcement Learning

The exploration–exploitation trade-off in reinforcement learning (RL) is...

0 Jonathan C Balloch, et al. ∙

research

∙ 10/10/2022

Experiential Explanations for Reinforcement Learning

Reinforcement Learning (RL) approaches are becoming increasingly popular...

6 Amal Alabdulkarim, et al. ∙

research

∙ 06/03/2022

The Algorithmic Imprint

When algorithmic harms emerge, a reasonable response is to stop using th...

0 Upol Ehsan, et al. ∙

research

∙ 12/16/2021

Inherently Explainable Reinforcement Learning in Natural Language

We focus on the task of creating a reinforcement learning agent that is ...

0 Xiangyu Peng, et al. ∙

research

∙ 12/16/2021

Guiding Neural Story Generation with Reader Models

Automated storytelling has long captured the attention of researchers fo...

3 Xiangyu Peng, et al. ∙

research

∙ 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 ...

1 Amal Alabdulkarim, et al. ∙

research

∙ 10/07/2021

Situated Dialogue Learning through Procedural Environment Generation

We teach goal-driven agents to interactively act and speak in situated e...

0 Prithviraj Ammanabrolu, et al. ∙

research

∙ 09/26/2021

Explainability Pitfalls: Beyond Dark Patterns in Explainable AI

To make Explainable AI (XAI) systems trustworthy, understanding harmful ...

0 Upol Ehsan, et al. ∙

research

∙ 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...

19 Upol Ehsan, et al. ∙

research

∙ 06/17/2021

Learning Knowledge Graph-based World Models of Textual Environments

World models improve a learning agent's ability to efficiently operate i...

0 Prithviraj Ammanabrolu, et al. ∙

research

∙ 06/17/2021

Modeling Worlds in Text

We provide a dataset that enables the creation of learning agents that c...

0 Prithviraj Ammanabrolu, et al. ∙

research

∙ 06/04/2021

Detecting and Adapting to Novelty in Games

Open-world novelty occurs when the rules of an environment can change ab...

0 Xiangyu Peng, et al. ∙

research

∙ 05/31/2021

Telling Stories through Multi-User Dialogue by Modeling Character Relations

This paper explores character-driven story continuation, in which the st...

0 Wai Man Si, et al. ∙

research

∙ 04/15/2021

LEx: A Framework for Operationalising Layers of Machine Learning Explanations

Several social factors impact how people respond to AI explanations used...

0 Ronal Singh, et al. ∙

research

∙ 03/18/2021

Situated Language Learning via Interactive Narratives

This paper provides a roadmap that explores the question of how to imbue...

6 Prithviraj Ammanabrolu, et al. ∙

research

∙ 01/12/2021

Expanding Explainability: Towards Social Transparency in AI systems

As AI-powered systems increasingly mediate consequential decision-making...

27 Upol Ehsan, et al. ∙

research

∙ 09/02/2020

Automated Storytelling via Causal, Commonsense Plot Ordering

Automated story plot generation is the task of generating a coherent seq...

0 Prithviraj Ammanabrolu, et al. ∙

research

∙ 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...

0 Prithviraj Ammanabrolu, et al. ∙

research

∙ 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...

0 Prithviraj Ammanabrolu, et al. ∙

research

∙ 02/04/2020

Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach

Explanations–a form of post-hoc interpretability–play an instrumental ro...

0 Upol Ehsan, et al. ∙

research

∙ 01/28/2020

Bringing Stories Alive: Generating Interactive Fiction Worlds

World building forms the foundation of any task that requires narrative ...

0 Prithviraj Ammanabrolu, et al. ∙

research

∙ 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...

0 Andrew Hoyt, et al. ∙

research

∙ 09/13/2019

Toward Automated Quest Generation in Text-Adventure Games

Interactive fictions, or text-adventures, are games in which a player in...

5 Prithviraj Ammanabrolu, et al. ∙

research

∙ 09/08/2019

Story Realization: Expanding Plot Events into Sentences

Neural network based approaches to automated story plot generation attem...

0 Prithviraj Ammanabrolu, et al. ∙

research

∙ 09/05/2019

Automated Let's Play Commentary

Let's Plays of video games represent a relatively unexplored area for ex...

0 Shukan Shah, et al. ∙

research

∙ 08/19/2019

Transfer in Deep Reinforcement Learning using Knowledge Graphs

Text adventure games, in which players must make sense of the world thro...

0 Prithviraj Ammanabrolu, et al. ∙

research

∙ 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...

0 Alexander Zook, et al. ∙

research

∙ 08/04/2019

Automatic Game Design via Mechanic Generation

Game designs often center on the game mechanics---rules governing the lo...

0 Alexander Zook, et al. ∙

research

∙ 08/04/2019

Automatic Playtesting for Game Parameter Tuning via Active Learning

Game designers use human playtesting to gather feedback about game desig...

0 Alexander Zook, et al. ∙

research

∙ 01/31/2019

Human-Centered Artificial Intelligence and Machine Learning

Humans are increasingly coming into contact with artificial intelligence...

0 Mark O. Riedl, et al. ∙

research

∙ 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...

0 Prithviraj Ammanabrolu, et al. ∙

research

∙ 09/27/2018

Controllable Neural Story Generation via Reinforcement Learning

Open story generation is the problem of automatically creating a story f...

0 Pradyumna Tambwekar, et al. ∙

research

∙ 05/09/2018

Creative Invention Benchmark

In this paper we present the Creative Invention Benchmark (CrIB), a 2000...

0 Matthew Guzdial, et al. ∙

research

∙ 02/10/2018

Combinets: Learning New Classifiers via Recombination

Problems with few examples of a new class of objects prove challenging t...

0 Matthew Guzdial, et al. ∙

research

∙ 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...

0 Zhiyu Lin, et al. ∙

research

∙ 07/26/2017

Guiding Reinforcement Learning Exploration Using Natural Language

In this work we present a technique to use natural language to help rein...

0 Brent Harrison, et al. ∙

research

∙ 06/05/2017

Event Representations for Automated Story Generation with Deep Neural Nets

Automated story generation is the problem of automatically selecting a s...

0 Lara J. Martin, et al. ∙

research

∙ 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...

0 Mark O. Riedl, et al. ∙

research

∙ 02/25/2017

Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations

We introduce AI rationalization, an approach for generating explanations...

0 Brent Harrison, et al. ∙

research

∙ 02/21/2016

Computational Narrative Intelligence: A Human-Centered Goal for Artificial Intelligence

Narrative intelligence is the ability to craft, tell, understand, and re...

0 Mark O. Riedl, et al. ∙

research

∙ 10/22/2014

The Lovelace 2.0 Test of Artificial Creativity and Intelligence

Observing that the creation of certain types of artistic artifacts neces...

0 Mark O. Riedl, et al. ∙

Mark O. Riedl

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