Arunesh Sinha

Arunesh Sinha

Singapore Management University

H-index: 26

Asia-Singapore

About Arunesh Sinha

Arunesh Sinha, With an exceptional h-index of 26 and a recent h-index of 20 (since 2020), a distinguished researcher at Singapore Management University, specializes in the field of Optimization, Multi-agent Systems, Game Theory, Machine Learning.

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

Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning

Tracking people across ultra populated indoor spaces by matching unreliable Wi-Fi signals with disconnected video feeds

Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning

Behavioral learning in security games: threat of multi-step manipulative attacks

A fair incentive scheme for community health workers

Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks

Beyond NaN: resiliency of optimization layers in the face of infeasibility

Building a personalized messaging system for health intervention in underprivileged regions using reinforcement learning

Arunesh Sinha Information

University

Position

___

Citations(all)

2784

Citations(since 2020)

2093

Cited By

1528

hIndex(all)

26

hIndex(since 2020)

20

i10Index(all)

43

i10Index(since 2020)

33

Email

University Profile Page

Singapore Management University

Google Scholar

View Google Scholar Profile

Arunesh Sinha Skills & Research Interests

Optimization

Multi-agent Systems

Game Theory

Machine Learning

Top articles of Arunesh Sinha

Title

Journal

Author(s)

Publication Date

Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning

Advances in Neural Information Processing Systems

Changyu Chen

Ramesha Karunasena

Thanh Nguyen

Arunesh Sinha

Pradeep Varakantham

2024/2/13

Tracking people across ultra populated indoor spaces by matching unreliable Wi-Fi signals with disconnected video feeds

Pervasive and Mobile Computing

Hai Truong

Dheryta Jaisinghani

Shubham Jain

Arunesh Sinha

JeongGil Ko

...

2024/1/1

Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning

Proceedings of the AAAI Conference on Artificial Intelligence

Yuxiao Lu

Arunesh Sinha

Pradeep Varakantham

2024/3/24

Behavioral learning in security games: threat of multi-step manipulative attacks

Proceedings of the AAAI Conference on Artificial Intelligence

Thanh H Nguyen

Arunesh Sinha

2023/6/26

A fair incentive scheme for community health workers

Proceedings of the AAAI Conference on Artificial Intelligence

Avinandan Bose

Tracey Li

Arunesh Sinha

Tien Mai

2023/6/26

Characterizing and Improving the Robustness of Predict-Then-Optimize Frameworks

Sonja Johnson-Yu

Jessie Finocchiaro

Kai Wang

Yevgeniy Vorobeychik

Arunesh Sinha

...

2023/10/18

Beyond NaN: resiliency of optimization layers in the face of infeasibility

Proceedings of the AAAI Conference on Artificial Intelligence

Wai Tuck Wong

Sarah Kinsey

Ramesha Karunasena

Thanh H Nguyen

Arunesh Sinha

2023/6/26

Building a personalized messaging system for health intervention in underprivileged regions using reinforcement learning

Sarah Kinsey

Jack Wolf

Nalini Saligram

Varun Ramesan

Meeta Walavalkar

...

2023/8/19

Conditioning Hierarchical Reinforcement Learning on Flexible Constraints

arXiv e-prints

Yuxiao Lu

Pradeep Varakantham

Arunesh Sinha

2023/2

Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary

Tien Mai

Avinandan Bose

Arunesh Sinha

Thanh H Nguyen

2024/4/28

Securing lifelines: safe delivery of critical services in areas with volatile security situation via a Stackelberg game approach

Proceedings of the AAAI Conference on Artificial Intelligence

Tien Mai

Arunesh Sinha

2023/6/26

Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach

AAAI 2023

Tien Mai

Arunesh Sinha

2022/4/25

Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees

Avinandan Bose

Arunesh Sinha

Tien Mai

2022/5/31

Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022

arXiv preprint arXiv:2202.14010

James Holt

Edward Raff

Ahmad Ridley

Dennis Ross

Arunesh Sinha

...

2022/2/28

Curiosity-driven and victim-aware adversarial policies

Chen Gong

Zhou Yang

Yunpeng Bai

Jieke Shi

Arunesh Sinha

...

2022/12/5

The Art of Manipulation: Threat of Multi-Step Manipulative Attacks in Security Games

arXiv preprint arXiv:2202.13424

Thanh H Nguyen

Arunesh Sinha

2022/2/27

An Exploration of Poisoning Attacks on Data-Based Decision Making

Sarah Eve Kinsey

Wong Wai Tuck

Arunesh Sinha

Thanh H Nguyen

2022/10/26

AI and security: a game perspective

Arunesh Sinha

2022/1/4

BAFFLE: Backdoor Attack in Offline Reinforcement Learning

arXiv preprint arXiv:2210.04688

Chen Gong

Zhou Yang

Yunpeng Bai

Junda He

Jieke Shi

...

2022/10/7

Trajectory optimization for safe navigation in maritime traffic using historical data

Chaithanya Basrur

Arambam James Singh

Arunesh Sinha

Akshat Kumar

TK Kumar

2022

See List of Professors in Arunesh Sinha University(Singapore Management University)

Co-Authors

H-index: 94
Milind Tambe

Milind Tambe

Harvard University

H-index: 83
Patrick McDaniel

Patrick McDaniel

Penn State University

H-index: 73
Michael Wellman

Michael Wellman

University of Michigan

H-index: 61
Ariel Procaccia

Ariel Procaccia

Harvard University

H-index: 57
Lujo Bauer

Lujo Bauer

Carnegie Mellon University

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