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Mendeley readers
| Title |
Terrain-adaptive locomotion skills using deep reinforcement learning
|
|---|---|
| Published in |
ACM Transactions on Graphics, July 2016
|
| DOI | 10.1145/2897824.2925881 |
| Authors |
Xue Bin Peng, Glen Berseth, Michiel van de Panne |
Mendeley readers
The data shown below were compiled from readership statistics for 393 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 1% |
| Germany | 3 | <1% |
| Ireland | 1 | <1% |
| Portugal | 1 | <1% |
| United Kingdom | 1 | <1% |
| Austria | 1 | <1% |
| Japan | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 380 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 89 | 23% |
| Student > Master | 83 | 21% |
| Researcher | 47 | 12% |
| Student > Bachelor | 43 | 11% |
| Student > Doctoral Student | 19 | 5% |
| Other | 43 | 11% |
| Unknown | 69 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 186 | 47% |
| Engineering | 113 | 29% |
| Neuroscience | 6 | 2% |
| Agricultural and Biological Sciences | 6 | 2% |
| Physics and Astronomy | 3 | <1% |
| Other | 9 | 2% |
| Unknown | 70 | 18% |