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researcher

He He

13 papers here

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

author position
  • first author1
  • middle author7
  • last author5

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CL10
  • cs.LG2
  • cs.HC1
ORCID 0000-0002-9118-2449
same name
  • He He — 15 papers, h 41
  • He He — 5 papers, h 15
  • He He — 2 papers
  • He He — 1 paper, h 10
  • He He — 1 paper, h 0

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
20162024
most citedOpponent Modeling in Deep Reinforcement Learning

108 citations · 133 across the 13 of their papers we have counts for

collaborators
Showing 2016Show all

1 paper · 1 filter

cs.LG2016★ 108 cited

Opponent Modeling in Deep Reinforcement Learning

He He, Jordan Boyd-Graber, Kevin Kwok +1

Opponent modeling is necessary in multi-agent settings where secondary agents with competing goals also adapt their strategies, yet it remains challenging because strategies intera…

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