Sarath Sreedharan | DeepAI

DeepAI AI Chat

Featured Co-authors

Yu Zhang
406 publications
Subbarao Kambhampati
76 publications
Siddharth Srivastava
43 publications
Tathagata Chakraborti
27 publications
Hankz Hankui Zhuo
26 publications
David Smith
20 publications
Tom Williams
18 publications
Christian Muise
14 publications
Sailik Sengupta
14 publications
Yasaman Khazaeni
13 publications
Mudit Verma
11 publications

∙ 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...

0 Tathagata Chakraborti, et al. ∙

∙ 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...

0 Karthik Valmeekam, et al. ∙

∙ 03/01/2023

Planning for Attacker Entrapment in Adversarial Settings

In this paper, we propose a planning framework to generate a defense str...

0 Brittany Cates, et al. ∙

∙ 02/02/2023

Goal Alignment: A Human-Aware Account of Value Alignment Problem

Value alignment problems arise in scenarios where the specified objectiv...

0 Malek Mechergui, et al. ∙

∙ 01/29/2023

A Mental Model Based Theory of Trust

Handling trust is one of the core requirements for facilitating effectiv...

0 Zahra Zahedi, et al. ∙

∙ 02/18/2022

A Mental-Model Centric Landscape of Human-AI Symbiosis

There has been significant recent interest in developing AI agents capab...

0 Zahra Zahedi, et al. ∙

∙ 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...

0 Utkarsh Soni, et al. ∙

∙ 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...

0 Zahra Zahedi, et al. ∙

∙ 04/21/2021

A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI

Existing approaches for generating human-aware agent behaviors have cons...

0 Sarath Sreedharan, et al. ∙

∙ 11/22/2020

A Bayesian Account of Measures of Interpretability in Human-AI Interaction

Existing approaches for the design of interpretable agent behavior consi...

0 Sarath Sreedharan, et al. ∙

∙ 11/21/2020

Explainable Composition of Aggregated Assistants

A new design of an AI assistant that has become increasingly popular is ...

0 Sarath Sreedharan, et al. ∙

∙ 11/19/2020

RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions

Empowering decision support systems with automated planning has received...

0 Karthik Valmeekam, et al. ∙

∙ 07/02/2020

Designing Environments Conducive to Interpretable Robot Behavior

Designing robots capable of generating interpretable behavior is a prere...

21 Anagha Kulkarni, et al. ∙

∙ 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...

47 Tathagata Chakraborti, et al. ∙

∙ 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...

4 Sarath Sreedharan, et al. ∙

∙ 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...

2 Sarath Sreedharan, et al. ∙

∙ 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...

18 Sarath Sreedharan, et al. ∙

∙ 03/17/2019

Model-Free Model Reconciliation

Designing agents capable of explaining complex sequential decisions rema...

32 Sarath Sreedharan, et al. ∙

∙ 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...

0 Tathagata Chakraborti, et al. ∙

∙ 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 ...

0 Sarath Sreedharan, et al. ∙

∙ 02/03/2018

Plan Explanations as Model Reconciliation -- An Empirical Study

Recent work in explanation generation for decision making agents has loo...

0 Tathagata Chakraborti, et al. ∙

∙ 08/01/2017

Balancing Explicability and Explanation in Human-Aware Planning

Human aware planning requires an agent to be aware of the intentions, ca...

0 Sarath Sreedharan, et al. ∙

∙ 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 ...

0 Tathagata Chakraborti, et al. ∙

∙ 11/25/2015

Plan Explicability and Predictability for Robot Task Planning

Intelligent robots and machines are becoming pervasive in human populate...

0 Yu Zhang, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world