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The NIPS '17 Competition: Building Intelligent Systems

Overview of attention for book
Attention for Chapter 7: Learning to Run Challenge Solutions: Adapting Reinforcement Learning Methods for Neuromusculoskeletal Environments
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Chapter title
Learning to Run Challenge Solutions: Adapting Reinforcement Learning Methods for Neuromusculoskeletal Environments
Chapter number 7
Book title
The NIPS '17 Competition: Building Intelligent Systems
Published by
Springer, Cham, September 2018
DOI 10.1007/978-3-319-94042-7_7
Book ISBNs
978-3-31-994041-0, 978-3-31-994042-7
Authors

Łukasz Kidziński, Sharada Prasanna Mohanty, Carmichael F. Ong, Zhewei Huang, Shuchang Zhou, Anton Pechenko, Adam Stelmaszczyk, Piotr Jarosik, Mikhail Pavlov, Sergey Kolesnikov, Sergey Plis, Zhibo Chen, Zhizheng Zhang, Jiale Chen, Jun Shi, Zhuobin Zheng, Chun Yuan, Zhihui Lin, Henryk Michalewski, Piotr Milos, Blazej Osinski, Andrew Melnik, Malte Schilling, Helge Ritter, Sean F. Carroll, Jennifer Hicks, Sergey Levine, Marcel Salathé, Scott Delp, Kidziński, Łukasz, Mohanty, Sharada Prasanna, Ong, Carmichael F., Huang, Zhewei, Zhou, Shuchang, Pechenko, Anton, Stelmaszczyk, Adam, Jarosik, Piotr, Pavlov, Mikhail, Kolesnikov, Sergey, Plis, Sergey, Chen, Zhibo, Zhang, Zhizheng, Chen, Jiale, Shi, Jun, Zheng, Zhuobin, Yuan, Chun, Lin, Zhihui, Michalewski, Henryk, Milos, Piotr, Osinski, Blazej, Melnik, Andrew, Schilling, Malte, Ritter, Helge, Carroll, Sean F., Hicks, Jennifer, Levine, Sergey, Salathé, Marcel, Delp, Scott

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Student > Master 17 19%
Researcher 13 14%
Student > Bachelor 7 8%
Student > Doctoral Student 6 7%
Other 8 9%
Unknown 19 21%
Readers by discipline Count As %
Engineering 34 38%
Computer Science 23 26%
Neuroscience 3 3%
Agricultural and Biological Sciences 2 2%
Business, Management and Accounting 2 2%
Other 6 7%
Unknown 20 22%