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Honda (United States)

United States

47 papers here624 citations across 47
fields
  • cs.RO17
  • cs.HC9
  • cs.CV8
  • cond-mat.mtrl-sci5
  • cs.LG2
  • cs.AI1
  • cs.MA1
  • eess.SY1
ROR 04vdmc602OpenAlex

affiliations via OpenAlex

output
20062026
most citedReduced carbon solubility in Fe nano-clusters and implications for the growth of single-walled carbon nanotubes

90 citations

researchers with a paper here
  • Kumar Akash10 · h 14
  • Teruhisa Misu8 · h 19
  • David Isele7 · h 17
  • K. Fujimura7 · h 45
  • Nawid Jamali2 profiles7 · h 17
  • S. Bae6 · h 13
  • Soshi Iba5 · h 17
  • A. Harutyunyan4 · h 33
  • A. Nakhaei4 · h 17
  • Shashank Mehrotra4 · h 8
  • A. Jiang3 · h 11
  • Chiho Choi3 · h 22
collaborating institutions
  • Honda Research Institute, USAUS9 papers
  • Carnegie Mellon UniversityUS6 papers
  • University of California, BerkeleyUS6 papers
  • Boston UniversityUS4 papers
  • Duke UniversityUS3 papers
  • Honda (Germany)DE3 papers
  • Honda (Japan)JP3 papers
  • Brown UniversityUS2 papers
  • Cornell UniversityUS2 papers
  • Massachusetts Institute of TechnologyUS2 papers
  • Purdue University West LafayetteUS2 papers
  • University of DelawareUS2 papers
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2019

Safe Reinforcement Learning on Autonomous Vehicles

David Isele, Alireza Nakhaei, Kikuo Fujimura

There have been numerous advances in reinforcement learning, but the typically unconstrained exploration of the learning process prevents the adoption of these methods in many safe…

cs.LG2019

Uncertainty-Aware Data Aggregation for Deep Imitation Learning

Yuchen Cui, David Isele, Scott Niekum +1

Estimating statistical uncertainties allows autonomous agents to communicate their confidence during task execution and is important for applications in safety-critical domains suc…

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