Sarath Sreedharan

Sarath Sreedharan

Arizona State University

H-index: 25

North America-United States

About Sarath Sreedharan

Sarath Sreedharan, With an exceptional h-index of 25 and a recent h-index of 24 (since 2020), a distinguished researcher at Arizona State University, specializes in the field of Artificial Intelligence, Automated Planning, Explainable AI, Neuro-Symbolic AI.

His recent articles reflect a diverse array of research interests and contributions to the field:

Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning

Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI

HELP! Providing Proactive Support in the Presence of Knowledge Asymmetry

Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change

Handling Reward Misspecification in the Presence of Expectation Mismatch

Reducing Human-Robot Goal State Divergence with Environment Design

A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract)

Generalizing action justification and causal links to policies

Sarath Sreedharan Information

University

Position

Graduate Student at

Citations(all)

2204

Citations(since 2020)

1998

Cited By

783

hIndex(all)

25

hIndex(since 2020)

24

i10Index(all)

40

i10Index(since 2020)

37

Email

University Profile Page

Arizona State University

Google Scholar

View Google Scholar Profile

Sarath Sreedharan Skills & Research Interests

Artificial Intelligence

Automated Planning

Explainable AI

Neuro-Symbolic AI

Top articles of Sarath Sreedharan

Title

Journal

Author(s)

Publication Date

Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning

Proceedings of the AAAI Conference on Artificial Intelligence

Turgay Caglar

Sirine Belhaj

Tathagata Chakraborty

Michael Katz

Sarath Sreedharan

2024/3/24

Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI

Proceedings of the AAAI Conference on Artificial Intelligence

Malek Mechergui

Sarath Sreedharan

2024/3/24

HELP! Providing Proactive Support in the Presence of Knowledge Asymmetry

Turgay Caglar

Sarath Sreedharan

2024/5/6

Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change

Advances in Neural Information Processing Systems

Karthik Valmeekam

Matthew Marquez

Alberto Olmo

Sarath Sreedharan

Subbarao Kambhampati

2024/2/13

Handling Reward Misspecification in the Presence of Expectation Mismatch

arXiv preprint arXiv:2404.08791

Sarath Sreedharan

Malek Mechergui

2024/4/12

Reducing Human-Robot Goal State Divergence with Environment Design

arXiv preprint arXiv:2404.15184

Kelsey Sikes

Sarah Keren

Sarath Sreedharan

2024/4/10

A Wireframe-Based Approach for Classifying and Acquiring Proficiency in the American Sign Language (Student Abstract)

Proceedings of the AAAI Conference on Artificial Intelligence

Dylan Pallickara

Sarath Sreedharan

2024/3/24

Generalizing action justification and causal links to policies

Proceedings of the International Conference on Automated Planning and Scheduling

Sarath Sreedharan

Christian Muise

Subbarao Kambhampati

2023/7/1

Human‐aware AI —A foundational framework for human–AI interaction

AI Magazine

Sarath Sreedharan

2023/12

A mental model based theory of trust

arXiv preprint arXiv:2301.12569

Zahra Zahedi

Sarath Sreedharan

Subbarao Kambhampati

2023/1/29

Planning for attacker entrapment in adversarial settings

Proceedings of the International Conference on Automated Planning and Scheduling

Brittany Cates

Anagha Kulkarni

Sarath Sreedharan

2023/7/1

Towards More Likely Models for AI Planning

arXiv preprint arXiv:2311.13720

Turgay Caglar

Sirine Belhaj

Tathagata Chakraborti

Michael Katz

Sarath Sreedharan

2023/11/22

TOBY: A Tool for Exploring Data in Academic Survey Papers

arXiv preprint arXiv:2306.10051

Tathagata Chakraborti

Jungkoo Kang

Christian Muise

Sarath Sreedharan

Michael Walker

...

2023/6/13

Explainable AI for Prioritizing and Deploying Defenses for Cyber-Physical System Resiliency

Indrajit Ray

Sarath Sreedharan

Rakesh Podder

Shadaab Kawnain Bashir

Indrakshi Ray

2023/11/1

Trust-aware planning: Modeling trust evolution in iterated human-robot interaction

Zahra Zahedi

Mudit Verma

Sarath Sreedharan

Subbarao Kambhampati

2023/3/13

Bridging the Gap Between AI Planning and Reinforcement Learning (PRL@ IJCAI 2023)

Cameron Allen

Timo Gros

Michael Katz

Harsha Kokel

Hector Palacios

...

2023/8/19

Leveraging pre-trained large language models to construct and utilize world models for model-based task planning

Advances in Neural Information Processing Systems

Lin Guan

Karthik Valmeekam

Sarath Sreedharan

Subbarao Kambhampati

2023/12/15

Generating explanations for an aggregated assistant's actions

2023/3/9

KiL 2023: 3rd International Workshop on Knowledge-infused Learning

Manas Gaur

Efthymia Tsamoura

Sarath Sreedharan

Sudip Mittal

2023/8/6

Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates

Advances in Neural Information Processing Systems

Sarath Sreedharan

Michael Katz

2023/12/15

See List of Professors in Sarath Sreedharan University(Arizona State University)

Co-Authors

H-index: 63
Subbarao Kambhampati

Subbarao Kambhampati

Arizona State University

H-index: 24
Christian Muise

Christian Muise

Queen's University

H-index: 24
Siddharth Srivastava

Siddharth Srivastava

Arizona State University

H-index: 23
Hankz Hankui Zhuo

Hankz Hankui Zhuo

Sun Yat-Sen University

H-index: 18
Yu ("Tony") Zhang

Yu ("Tony") Zhang

Arizona State University

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