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researcher

Yeong-Dae Kwon

7 papers hereh-index 51.1k citations7 works total

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

author position
  • first author2
  • middle author3
  • last author2

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.AI1
  • quant-ph1
same name
  • Yeong-Dae Kwon — 5 papers, 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
20202024
most citedPOMO: Policy Optimization with Multiple Optima for Reinforcement Learning

135 citations · 229 across the 7 of their papers we have counts for

collaborators
Showing 2020Show all

1 paper · 1 filter

cs.LG2020★ 135 cited

POMO: Policy Optimization with Multiple Optima for Reinforcement Learning

Yeong-Dae Kwon, Jinho Choo, Byoungjip Kim +3

In neural combinatorial optimization (CO), reinforcement learning (RL) can turn a deep neural net into a fast, powerful heuristic solver of NP-hard problems. This approach has a gr…

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