Sandhya Saisubramanian

About Sandhya Saisubramanian

Sandhya Saisubramanian, With an exceptional h-index of 10 and a recent h-index of 9 (since 2020), a distinguished researcher at University of Massachusetts Amherst, specializes in the field of Artificial Intelligence, Automated Planning, Autonomous Agents, Trustworthy AI.

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

Planning and learning for reliable autonomy in the open world

Explanation-Guided Reward Alignment

Planning and Learning for Non-Markovian Negative Side Effects Using Finite State Controllers

Reliable Decision-Making with Imprecise Models

Avoiding negative side effects due to incomplete knowledge of AI systems

Avoiding negative side effects of autonomous systems in the open world

Metareasoning for safe decision making in autonomous systems

Reveale: Reward verification and learning using explanations

Sandhya Saisubramanian Information

University

Position

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Citations(all)

304

Citations(since 2020)

250

Cited By

116

hIndex(all)

10

hIndex(since 2020)

9

i10Index(all)

10

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Sandhya Saisubramanian Skills & Research Interests

Artificial Intelligence

Automated Planning

Autonomous Agents

Trustworthy AI

Top articles of Sandhya Saisubramanian

Planning and learning for reliable autonomy in the open world

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Sandhya Saisubramanian
Sandhya Saisubramanian

H-Index: 5

Explanation-Guided Reward Alignment

2023

Planning and Learning for Non-Markovian Negative Side Effects Using Finite State Controllers

Proceedings of the AAAI Conference on Artificial Intelligence

2023/6/26

Reliable Decision-Making with Imprecise Models

2022

Sandhya Saisubramanian
Sandhya Saisubramanian

H-Index: 5

Avoiding negative side effects due to incomplete knowledge of AI systems

AI Magazine

2022/1/18

Sandhya Saisubramanian
Sandhya Saisubramanian

H-Index: 5

Shlomo Zilberstein
Shlomo Zilberstein

H-Index: 30

Avoiding negative side effects of autonomous systems in the open world

Journal of Artificial Intelligence Research

2022/5/10

Sandhya Saisubramanian
Sandhya Saisubramanian

H-Index: 5

Shlomo Zilberstein
Shlomo Zilberstein

H-Index: 30

Metareasoning for safe decision making in autonomous systems

2022

Reveale: Reward verification and learning using explanations

2022

Understanding user attitudes towards negative side effects of AI systems

2021/5/8

Mitigating Negative Side Effects via Environment Shaping

arXiv preprint arXiv:2102.07017

2021/2/13

Sandhya Saisubramanian
Sandhya Saisubramanian

H-Index: 5

Shlomo Zilberstein
Shlomo Zilberstein

H-Index: 30

Learning to Generate Fair Clusters from Demonstrations

2021/7/21

Using Metareasoning to Maintain and Restore Safety for Reliably Autonomy

2021

Efficient Integration of Complementary Solvers for Quantum Circuit Compilation

2020

Sandhya Saisubramanian
Sandhya Saisubramanian

H-Index: 5

Shlomo Zilberstein
Shlomo Zilberstein

H-Index: 30

A Multi-Objective Approach to Mitigate Negative Side Effects

2021/1/7

Sandhya Saisubramanian
Sandhya Saisubramanian

H-Index: 5

Shlomo Zilberstein
Shlomo Zilberstein

H-Index: 30

Mitigating the Negative Side Effects of Reasoning with Imperfect Models: A Multi-Objective Approach

2020/5/5

Sandhya Saisubramanian
Sandhya Saisubramanian

H-Index: 5

Shlomo Zilberstein
Shlomo Zilberstein

H-Index: 30

Balancing the Tradeoff Between Clustering Value and Interpretability

2020/2/7

See List of Professors in Sandhya Saisubramanian University(University of Massachusetts Amherst)

Co-Authors

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