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David Abel

Google DeepMind

14 papers hereh-index 211.8k citations45 works total

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

author position
  • sole author1
  • first author4
  • middle author8

Across the 13 of 14 papers where every author was matched, so the position is known.

fields
  • cs.AI7
  • cs.LG7
affiliations
  • Google DeepMind
  • University of Edinburgh
Homepage
same name
  • David Abel — 7 papers, h 4
  • David Abel — 3 papers
  • David Abel — 3 papers, h 3
  • David Abel — 3 papers, h 2
  • David Abel — 3 papers, h 1

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
20162025
most citedWhat can I do here? A Theory of Affordances in Reinforcement Learning

32 citations · 61 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

cs.AI2024

Three Dogmas of Reinforcement Learning

David Abel, Mark K. Ho, Anna Harutyunyan

Modern reinforcement learning has been conditioned by at least three dogmas. The first is the environment spotlight, which refers to our tendency to focus on modeling environments…

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