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Wanxin Jin

Arizona State University

15 papers hereh-index 16774 citations28 works total

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

author position
  • sole author1
  • first author8
  • middle author5
  • last author1

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.RO9
  • cs.LG3
  • eess.SY3
affiliations
  • Arizona State University
Homepage
same name
  • Wanxin Jin — 8 papers, h 4
  • Wanxin Jin — 7 papers, h 4
  • Wanxin Jin — 2 papers, h 3
  • Wanxin Jin — 1 paper

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
20182024
most citedInverse Optimal Control from Incomplete Trajectory Observations

55 citations · 122 across the 15 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.RO2020

Learning from Human Directional Corrections

Wanxin Jin, Todd D. Murphey, Zehui Lu +1

This paper proposes a novel approach that enables a robot to learn an objective function incrementally from human directional corrections. Existing methods learn from human magnitu…

cs.RO2020

Learning Objective Functions Incrementally by Inverse Optimal Control

Zihao Liang, Wanxin Jin, Shaoshuai Mou

This paper proposes an inverse optimal control method which enables a robot to incrementally learn a control objective function from a collection of trajectory segments. By saying…

cs.RO2020★ 5 cited

Learning from Sparse Demonstrations

Wanxin Jin, Todd D. Murphey, Dana Kulić +2

This paper develops the method of Continuous Pontryagin Differentiable Programming (Continuous PDP), which enables a robot to learn an objective function from a few sparsely demons…

eess.SY2020★ 43 cited

Neural Certificates for Safe Control Policies

Wanxin Jin, Zhaoran Wang, Zhuoran Yang +1

This paper develops an approach to learn a policy of a dynamical system that is guaranteed to be both provably safe and goal-reaching. Here, the safety means that a policy must not…

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