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Zifan Wang

21 papers hereh-index 572 citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author15
  • middle author6

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • math.OC10
  • cs.LG9
  • cs.RO1
  • eess.SY1
same name
  • Zifan Wang — 17 papers, h 12
  • Zifan Wang — 11 papers, h 6
  • Zifan Wang — 10 papers, h 5
  • Zifan Wang — 7 papers, h 4
  • Zifan Wang — 6 papers, h 6
  • Zifan Wang — 6 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20222026
most citedPolicy Evaluation in Distributional LQR

2 citations · 4 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

math.OC2023★ 1 cited

Constrained Optimization with Decision-Dependent Distributions

Zifan Wang, Changxin Liu, Thomas Parisini +2

In this paper we deal with stochastic optimization problems where the data distributions change in response to the decision variables. Traditionally, the study of optimization prob…

math.OC2023

Convergence Analysis of the Best Response Algorithm for Time-Varying Games

Zifan Wang, Yi Shen, Michael M. Zavlanos +1

This paper studies a class of strongly monotone games involving non-cooperative agents that optimize their own time-varying cost functions. We assume that the agents can observe ot…

math.OC2023

Asymmetric Feedback Learning in Online Convex Games

Zifan Wang, Xinlei Yi, Yi Shen +2

This paper considers convex games involving multiple agents that aim to minimize their own cost functions using locally available information. A common assumption in the study of s…

math.OC2023★ 2 cited

Policy Evaluation in Distributional LQR

Zifan Wang, Yulong Gao, Siyi Wang +3

Distributional reinforcement learning (DRL) enhances the understanding of the effects of the randomness in the environment by letting agents learn the distribution of a random retu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.