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05/26/2023
Learning and Leveraging Verifiers to Improve Planning Capabilities of Pre-trained Language Models
There have been wide spread claims in the literature about the emergent ...
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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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02/28/2023
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments
Learning to detect, characterize and accommodate novelties is a challeng...
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02/17/2023
Exploiting Unlabeled Data for Feedback Efficient Human Preference based Reinforcement Learning
Preference Based Reinforcement Learning has shown much promise for utili...
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02/17/2023
A State Augmentation based approach to Reinforcement Learning from Human Preferences
Reinforcement Learning has suffered from poor reward specification, and ...
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02/17/2023
Data Driven Reward Initialization for Preference based Reinforcement Learning
Preference-based Reinforcement Learning (PbRL) methods utilize binary fe...
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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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10/26/2022
Using Deception in Markov Game to Understand Adversarial Behaviors through a Capture-The-Flag Environment
Identifying the actual adversarial threat against a system vulnerability...
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10/07/2022
Advice Conformance Verification by Reinforcement Learning agents for Human-in-the-Loop
Human-in-the-loop (HiL) reinforcement learning is gaining traction in do...
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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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10/19/2021
Gradient-Based Mixed Planning with Discrete and Continuous Actions
Dealing with planning problems with both discrete logical relations and ...
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09/15/2021
Synthesizing Policies That Account For Human Execution Errors Caused By State-Aliasing In Markov Decision Processes
When humans are given a policy to execute, there can be policy execution...
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07/09/2021
Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver
The game of monopoly is an adversarial multi-agent domain where there is...
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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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05/02/2021
Planning for Proactive Assistance in Environments with Partial Observability
This paper addresses the problem of synthesizing the behavior of an AI a...
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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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03/18/2021
Human-AI Symbiosis: A Survey of Current Approaches
In this paper, we aim at providing a comprehensive outline of the differ...
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11/24/2020
Model Elicitation through Direct Questioning
The future will be replete with scenarios where humans are robots will b...
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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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11/19/2020
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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10/28/2020
Model Minimization For Online Predictability
For humans in a teaming scenario, context switching between reasoning ab...
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10/08/2020
Moving Target Defense for Robust Monitoring of Electric Grid Transformers in Adversarial Environments
Electric power grid components, such as high voltage transformers (HVTs)...
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07/20/2020
Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense
The field of cybersecurity has mostly been a cat-and-mouse game with the...
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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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02/05/2020
`Why not give this work to them?' Explaining AI-Moderated Task-Allocation Outcomes using Negotiation Trees
The problem of multi-agent task allocation arises in a variety of scenar...
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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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10/15/2019
Challenges of Human-Aware AI Systems
From its inception, AI has had a rather ambivalent relationship to human...
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08/26/2019
Learning Action Models from Disordered and Noisy Plan Traces
There is increasing awareness in the planning community that the burden ...
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05/25/2019
Balancing Goal Obfuscation and Goal Legibility in Settings with Cooperative and Adversarial Observers
In order to be useful in the real world, AI agents need to plan and act ...
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05/02/2019
A Survey of Moving Target Defenses for Network Security
Network defense techniques based on traditional tools, techniques, and p...
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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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03/01/2019
To Monitor or to Trust: Observing Robot's Behavior based on a Game-Theoretic Model of Trust
In scenarios where a robot generates and executes a plan, there may be i...
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03/01/2019
To Monitor Or Not: Observing Robot's Behavior based on a Game-Theoretic Model of Trust
In scenarios where a robot generates and executes a plan, there may be i...
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12/23/2018
Markov Game Modeling of Moving Target Defense for Strategic Detection of Threats in Cloud Networks
The processing and storage of critical data in large-scale cloud network...
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12/02/2018
Plan-Recognition-Driven Attention Modeling for Visual Recognition
Human visual recognition of activities or external agents involves an in...
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11/24/2018
TGE-viz : Transition Graph Embedding for Visualization of Plan Traces and Domains
Existing work for plan trace visualization in automated planning uses pi...
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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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11/09/2018
Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases
The use of synthetic data generated by Generative Adversarial Networks (...
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03/07/2018
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning
Extracting action sequences from texts in natural language is challengin...
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03/04/2018
Discovering Underlying Plans Based on Shallow Models
Plan recognition aims to discover target plans (i.e., sequences of actio...
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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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02/16/2018
Implicit Robot-Human Communication in Adversarial and Collaborative Environments
Users of AI systems may rely upon them to produce plans for achieving de...
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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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01/30/2018
Algorithms for the Greater Good! On Mental Modeling and Acceptable Symbiosis in Human-AI Collaboration
Effective collaboration between humans and AI-based systems requires eff...
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12/05/2017
Recognizing Plans by Learning Embeddings from Observed Action Distributions
Recent advances in visual activity recognition have raised the possibili...
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11/20/2017
