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Nadav Amir

3 papers hereh-index 111 citations6 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 3 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

most citedStates as goal-directed concepts: an epistemic approach to state-representation learning

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

collaborators

3 papers

cs.AI2025

Goals and the Structure of Experience

Nadav Amir, Stas Tiomkin, Angela Langdon

Purposeful behavior is a hallmark of natural and artificial intelligence. Its acquisition is often believed to rely on world models, comprising both descriptive (what is) and presc…

cs.AI2024

Learning telic-controllable state representations

Nadav Amir, Stas Tiomkin

Computational models of purposeful behavior comprise both descriptive and prescriptive aspects, used respectively to ascertain and evaluate situations in the world. In reinforcemen…

q-bio.NC2024★ 2 cited

States as goal-directed concepts: an epistemic approach to state-representation learning

Nadav Amir, Yael Niv, Angela Langdon

Our goals fundamentally shape how we experience the world. For example, when we are hungry, we tend to view objects in our environment according to whether or not they are edible (…

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