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researcher

Nantas Nardelli

20 papers hereh-index 145.5k citations22 works total

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

author position
  • first author1
  • middle author18

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.AI6
  • physics.plasm-ph3
  • cs.RO1
  • q-bio.NC1

identity via Semantic Scholar / OpenAlex

activity
20162025
most citedCounterfactual Multi-Agent Policy Gradients

445 citations · 1.2k across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

1 paper · 1 filter

cs.AI2023★ 1 cited

Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models

Theodore Wolf, Nantas Nardelli, John Shawe-Taylor +1

Governments around the world aspire to ground decision-making on evidence. Many of the foundations of policy making - e.g. sensing patterns that relate to societal needs, developin…

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