10 citations · 18 across the 2 of their papers we have counts for
3 papers
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.AI2018
Baselines for Reinforcement Learning in Text 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…
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…