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Hierarchically Integrated Models: Learning to Navigate from
  Heterogeneous Robots

Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots

24 June 2021
Katie Kang
G. Kahn
Sergey Levine
ArXivPDFHTML

Papers citing "Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots"

5 / 5 papers shown
Title
Learning Robotic Navigation from Experience: Principles, Methods, and
  Recent Results
Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results
Sergey Levine
Dhruv Shah
SSL
16
21
0
13 Dec 2022
GNM: A General Navigation Model to Drive Any Robot
GNM: A General Navigation Model to Drive Any Robot
Dhruv Shah
A. Sridhar
Arjun Bhorkar
Noriaki Hirose
Sergey Levine
17
103
0
07 Oct 2022
Scaling Local Control to Large-Scale Topological Navigation
Scaling Local Control to Large-Scale Topological Navigation
Xiangyun Meng
Nathan D. Ratliff
Yu Xiang
D. Fox
95
61
0
26 Sep 2019
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
216
809
0
13 Nov 2016
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies
Fangyi Zhang
Jurgen Leitner
Michael Milford
Peter Corke
26
39
0
21 Oct 2016
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