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researcher

K. Lakshmanan

4 papers hereh-index 8305 citations26 works total

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

author position
  • sole author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.OC2
  • cs.CC1
  • cs.LG1
same name
  • K. Lakshmanan — 6 papers, h 3
  • K. Lakshmanan — 2 papers, h 4
  • K. Lakshmanan — 1 paper, h 4
  • K. Lakshmanan — 1 paper, h 2

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
20172023
most citedA Review on Optimality Investigation Strategies for the Balanced Assignment Problem

2 citations · 3 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CC2023★ 2 cited

A Review on Optimality Investigation Strategies for the Balanced Assignment Problem

Anurag Dutta, K. Lakshmanan, A. Ramamoorthy +3

Mathematical Selection is a method in which we select a particular choice from a set of such. It have always been an interesting field of study for mathematicians. Accordingly, Com…

math.OC2021

On convergence to the global optima

K. Lakshmanan

We show that there is no general algorithm which finds a sequence of points with finite-precision converging computably to the global optima of any continuous function.

math.OC2019

Global Optima is not Limit Computable

K. Lakshmanan

We study the limit computability of finding a global optimum of a continuous function. We give a short proof to show that the problem of checking whether a point is a global minimu…

cs.LG2017★ 1 cited

Accelerated Reinforcement Learning

K. Lakshmanan

Policy gradient methods are widely used in reinforcement learning algorithms to search for better policies in the parameterized policy space. They do gradient search in the policy…

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