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researcher

Kate Rakelly

6 papers hereh-index 71.6k citations11 works total

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

author position
  • first author3
  • middle author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG3

identity via Semantic Scholar / OpenAlex

activity
20152021
most citedEfficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables

228 citations · 358 across the 5 of their papers we have counts for

collaborators
Showing 2019Show all

1 paper · 1 filter

cs.LG2019★ 228 cited

Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables

Kate Rakelly, Aurick Zhou, Deirdre Quillen +2

Deep reinforcement learning algorithms require large amounts of experience to learn an individual task. While in principle meta-reinforcement learning (meta-RL) algorithms enable a…

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