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Mikuláš Zelinka

Charles University

3 papers hereh-index 5885 citations6 works total

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

author position
  • sole author2
  • first author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.AI1
affiliations
  • Charles University
ORCID 0000-0001-7653-1084

identity via Semantic Scholar / OpenAlex

most citedUsing reinforcement learning to learn how to play text-based games

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

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2019★ 8 cited

Building Dynamic Knowledge Graphs from Text-based Games

Mikuláš Zelinka, Xingdi Yuan, Marc-Alexandre Côté +2

We are interested in learning how to update Knowledge Graphs (KG) from text. In this preliminary work, we propose a novel Sequence-to-Sequence (Seq2Seq) architecture to generate el…

cs.CL2018★ 10 cited

Using reinforcement learning to learn how to play text-based games

Mikuláš Zelinka

The ability to learn optimal control policies in systems where action space is defined by sentences in natural language would allow many interesting real-world applications such as…

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