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researcher

Otto van der Himst

2 papers hereh-index 131 citations2 works total

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedDeep Active Inference for Partially Observable MDPs

22 citations · 22 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2023

Bayesian Integration of Information Using Top-Down Modulated WTA Networks

Otto van der Himst, Leila Bagheriye, Johan Kwisthout

Winner Take All (WTA) circuits a type of Spiking Neural Networks (SNN) have been suggested as facilitating the brain's ability to process information in a Bayesian manner. Research…

cs.LG2020★ 22 cited

Deep Active Inference for Partially Observable MDPs

Otto van der Himst, Pablo Lanillos

Deep active inference has been proposed as a scalable approach to perception and action that deals with large policy and state spaces. However, current models are limited to fully…

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