Svetlana Obraztsova

About Svetlana Obraztsova

Svetlana Obraztsova, With an exceptional h-index of 16 and a recent h-index of 13 (since 2020), a distinguished researcher at Nanyang Technological University, specializes in the field of computational social choice.

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

Verifying Proportionality in Temporal Voting

Temporal Fairness in Multiwinner Voting

RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning

RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning

Off-Beat Multi-Agent Reinforcement Learning

Hotelling-Downs Equilibria: Moving Beyond Plurality Variants

The complexity of election problems with group-separable preferences

Rmix: Learning risk-sensitive policies for cooperative reinforcement learning agents

Svetlana Obraztsova Information

University

Position

___

Citations(all)

791

Citations(since 2020)

443

Cited By

532

hIndex(all)

16

hIndex(since 2020)

13

i10Index(all)

23

i10Index(since 2020)

18

Email

University Profile Page

Google Scholar

Svetlana Obraztsova Skills & Research Interests

computational social choice

Top articles of Svetlana Obraztsova

Verifying Proportionality in Temporal Voting

2024/5/6

Edith Elkind
Edith Elkind

H-Index: 32

Svetlana Obraztsova
Svetlana Obraztsova

H-Index: 12

Nicholas Teh
Nicholas Teh

H-Index: 0

Temporal Fairness in Multiwinner Voting

2024/2

Edith Elkind
Edith Elkind

H-Index: 32

Svetlana Obraztsova
Svetlana Obraztsova

H-Index: 12

Nicholas Teh
Nicholas Teh

H-Index: 0

RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning

arXiv preprint arXiv:2210.09646

2022/10/18

RPM: Generalizable Multi-Agent Policies for Multi-Agent Reinforcement Learning

2022/9/29

Off-Beat Multi-Agent Reinforcement Learning

arXiv preprint arXiv:2205.13718

2022/5/27

Hotelling-Downs Equilibria: Moving Beyond Plurality Variants

2022

The complexity of election problems with group-separable preferences

2020

Rmix: Learning risk-sensitive policies for cooperative reinforcement learning agents

Advances in Neural Information Processing Systems

2021/12/6

Mis-spoke or mis-lead: Achieving robustness in multi-agent communicative reinforcement learning

arXiv preprint arXiv:2108.03803

2021/8/9

Restricted domains of dichotomous preferences with possibly incomplete information

Proceedings of the AAAI Conference on Artificial Intelligence

2021/5/18

Reaching consensus under a deadline

Autonomous Agents and Multi-Agent Systems

2021/4

Svetlana Obraztsova
Svetlana Obraztsova

H-Index: 12

Protecting elections by recounting ballots

Artificial Intelligence

2021/1/1

Edith Elkind
Edith Elkind

H-Index: 32

Jiarui Gan
Jiarui Gan

H-Index: 12

Svetlana Obraztsova
Svetlana Obraztsova

H-Index: 12

On swap convexity of voting rules

Proceedings of the AAAI Conference on Artificial Intelligence

2020/4/3

Manipulating elections by selecting issues

2020

RMIX: Risk-sensitive multi-agent reinforcement learning

2020/10/2

Multiwinner candidacy games

2020/5/5

See List of Professors in Svetlana Obraztsova University(Nanyang Technological University)

Co-Authors

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