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06/13/2023
TOBY: A Tool for Exploring Data in Academic Survey Papers
This paper describes TOBY, a visualization tool that helps a user explor...
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05/25/2023
On the Planning Abilities of Large Language Models – A Critical Investigation
Intrigued by the claims of emergent reasoning capabilities in LLMs train...
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03/01/2023
Planning for Attacker Entrapment in Adversarial Settings
In this paper, we propose a planning framework to generate a defense str...
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02/02/2023
Goal Alignment: A Human-Aware Account of Value Alignment Problem
Value alignment problems arise in scenarios where the specified objectiv...
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01/29/2023
A Mental Model Based Theory of Trust
Handling trust is one of the core requirements for facilitating effectiv...
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02/18/2022
A Mental-Model Centric Landscape of Human-AI Symbiosis
There has been significant recent interest in developing AI agents capab...
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06/23/2021
Not all users are the same: Providing personalized explanations for sequential decision making problems
There is a growing interest in designing autonomous agents that can work...
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05/03/2021
Trust-Aware Planning: Modeling Trust Evolution in Longitudinal Human-Robot Interaction
Trust between team members is an essential requirement for any successfu...
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04/21/2021
A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI
Existing approaches for generating human-aware agent behaviors have cons...
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11/22/2020
A Bayesian Account of Measures of Interpretability in Human-AI Interaction
Existing approaches for the design of interpretable agent behavior consi...
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11/21/2020
Explainable Composition of Aggregated Assistants
A new design of an AI assistant that has become increasingly popular is ...
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11/19/2020
RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions
Empowering decision support systems with automated planning has received...
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07/02/2020
Designing Environments Conducive to Interpretable Robot Behavior
Designing robots capable of generating interpretable behavior is a prere...
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02/26/2020
The Emerging Landscape of Explainable AI Planning and Decision Making
In this paper, we provide a comprehensive outline of the different threa...
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02/04/2020
Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Black Box Simulators
As more and more complex AI systems are introduced into our day-to-day l...
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03/19/2019
Why Couldn't You do that? Explaining Unsolvability of Classical Planning Problems in the Presence of Plan Advice
Explainable planning is widely accepted as a prerequisite for autonomous...
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03/18/2019
Planning with Explanatory Actions: A Joint Approach to Plan Explicability and Explanations in Human-Aware Planning
In this work, we formulate the process of generating explanations as mod...
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03/17/2019
Model-Free Model Reconciliation
Designing agents capable of explaining complex sequential decisions rema...
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11/23/2018
Explicability? Legibility? Predictability? Transparency? Privacy? Security? The Emerging Landscape of Interpretable Agent Behavior
There has been significant interest of late in generating behavior of ag...
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02/19/2018
Hierarchical Expertise-Level Modeling for User Specific Robot-Behavior Explanations
There is a growing interest within the AI research community to develop ...
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02/03/2018
Plan Explanations as Model Reconciliation -- An Empirical Study
Recent work in explanation generation for decision making agents has loo...
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08/01/2017
Balancing Explicability and Explanation in Human-Aware Planning
Human aware planning requires an agent to be aware of the intentions, ca...
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01/28/2017
Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy
When AI systems interact with humans in the loop, they are often called ...
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11/25/2015
