Anshuka Rangi

About Anshuka Rangi

Anshuka Rangi, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at University of California, San Diego, specializes in the field of Online Learning, Reinforcement Learning, Distributed Testing, Distributed Estimation, Information Theory.

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

Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow

Attacking multi-player bandits and how to robustify them

Towards Sequential Counterfactual Learning to Rank

Apparatus and method for automatically converting note to action reminders

Selective Uncertainty Propagation in Offline RL

Multi-Player Bandits Robust to Adversarial Collisions

Understanding the limits of poisoning attacks in episodic reinforcement learning

Saving stochastic bandits from poisoning attacks via limited data verification

Anshuka Rangi Information

University

Position

PhD Candidate at

Citations(all)

173

Citations(since 2020)

163

Cited By

59

hIndex(all)

9

hIndex(since 2020)

9

i10Index(all)

8

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Anshuka Rangi Skills & Research Interests

Online Learning

Reinforcement Learning

Distributed Testing

Distributed Estimation

Information Theory

Top articles of Anshuka Rangi

Multi-Objective Optimization via Wasserstein-Fisher-Rao Gradient Flow

2024/4/18

Attacking multi-player bandits and how to robustify them

Proceedings of 23rd Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024)

2024

Anshuka Rangi
Anshuka Rangi

H-Index: 6

Haifeng Xu
Haifeng Xu

H-Index: 8

Towards Sequential Counterfactual Learning to Rank

2023/11/26

Tanmay Gangwani
Tanmay Gangwani

H-Index: 5

Anshuka Rangi
Anshuka Rangi

H-Index: 6

Apparatus and method for automatically converting note to action reminders

2023/4/25

Selective Uncertainty Propagation in Offline RL

arXiv preprint arXiv:2302.00284

2023/2/1

Multi-Player Bandits Robust to Adversarial Collisions

arXiv preprint arXiv:2211.07817

2022/11/15

Anshuka Rangi
Anshuka Rangi

H-Index: 6

Haifeng Xu
Haifeng Xu

H-Index: 8

Understanding the limits of poisoning attacks in episodic reinforcement learning

arXiv preprint arXiv:2208.13663

2022/8/29

Anshuka Rangi
Anshuka Rangi

H-Index: 6

Haifeng Xu
Haifeng Xu

H-Index: 8

Saving stochastic bandits from poisoning attacks via limited data verification

Proceedings of the aaai conference on artificial intelligence

2022/6/28

Anshuka Rangi
Anshuka Rangi

H-Index: 6

Haifeng Xu
Haifeng Xu

H-Index: 8

Channel Coding Theorems in Non-stochastic Information Theory

2021/7/12

Anshuka Rangi
Anshuka Rangi

H-Index: 6

Secure-ucb: Saving stochastic bandits from poisoning attacks via limited data verification

arXiv preprint arXiv:2102.07711

2021/2/15

Anshuka Rangi
Anshuka Rangi

H-Index: 6

Haifeng Xu
Haifeng Xu

H-Index: 8

Online Learning and Decision Making with Partial Information, a feedback perspective

2021

Anshuka Rangi
Anshuka Rangi

H-Index: 6

Sequential Choice Bandits with Feedback for Personalizing users' experience

arXiv preprint arXiv:2101.01572

2021/1

Anshuka Rangi
Anshuka Rangi

H-Index: 6

Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offs

2021

Anshuka Rangi
Anshuka Rangi

H-Index: 6

Mohammad Javad Khojasteh
Mohammad Javad Khojasteh

H-Index: 8

See List of Professors in Anshuka Rangi University(University of California, San Diego)

Co-Authors

academic-engine