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Uber AI (United States)

United States

86 papers here3.7k citations across 86
fields
  • cs.LG17
  • cs.NE14
  • stat.ML13
  • cs.CV10
  • cs.CL5
  • cs.AI4
  • cs.DC4
  • stat.CO4
ROR 05vm0ed18OpenAlex

affiliations via OpenAlex

output
20142026
most citedPyro: Deep Universal Probabilistic Programming

572 citations

researchers with a paper here
  • J. Clune14 · h 53
  • Kenneth O. Stanley12 · h 68
  • J. Lehman9 · h 40
  • R. Urtasun8 · h 116
  • J. Yosinski6 · h 31
  • Piero Molino6 · h 17
  • Joost Huizinga5 · h 18
  • M. Jankowiak5 · h 23
  • Aditya Rawal4 · h 12
  • Binh Yang4 · h 34
  • F. Such4 · h 17
  • H. Zheng4 · h 12
collaborating institutions
  • University of CambridgeGB8 papers
  • University of TorontoCA8 papers
  • Cornell UniversityUS6 papers
  • University of Central FloridaUS6 papers
  • University of WyomingUS6 papers
  • Meta (Israel)IL4 papers
  • OpenAI (United States)US4 papers
  • Carnegie Mellon UniversityUS3 papers
  • Georgia Institute of TechnologyUS3 papers
  • Google (United States)US3 papers
  • Linköping UniversitySE3 papers
  • Stanford UniversityUS3 papers
Showing 2018 · cs.AIShow all

1 paper · 2 filters

cs.AI2018★ 17 cited

Deep Curiosity Search: Intra-Life Exploration Can Improve Performance on Challenging Deep Reinforcement Learning Problems

Christopher Stanton, Jeff Clune

Traditional exploration methods in RL require agents to perform random actions to find rewards. But these approaches struggle on sparse-reward domains like Montezuma's Revenge wher…

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