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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 2021Show all

1 paper · 1 filter

cs.LG2021★ 8 cited

Which Mutual-Information Representation Learning Objectives are Sufficient for Control?

Kate Rakelly, Abhishek Gupta, Carlos Florensa +1

Mutual information maximization provides an appealing formalism for learning representations of data. In the context of reinforcement learning (RL), such representations can accele…

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