Title |
Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail
|
---|---|
Published in |
PLoS Computational Biology, December 2009
|
DOI | 10.1371/journal.pcbi.1000586 |
Pubmed ID | |
Authors |
Eleni Vasilaki, Nicolas Frémaux, Robert Urbanczik, Walter Senn, Wulfram Gerstner |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 11 | 4% |
Switzerland | 8 | 3% |
Germany | 7 | 3% |
France | 4 | 2% |
Canada | 4 | 2% |
United States | 3 | 1% |
Netherlands | 2 | <1% |
Japan | 2 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Other | 2 | <1% |
Unknown | 215 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 77 | 30% |
Researcher | 53 | 20% |
Student > Master | 35 | 14% |
Professor | 14 | 5% |
Professor > Associate Professor | 12 | 5% |
Other | 33 | 13% |
Unknown | 35 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 62 | 24% |
Agricultural and Biological Sciences | 47 | 18% |
Engineering | 33 | 13% |
Neuroscience | 28 | 11% |
Physics and Astronomy | 16 | 6% |
Other | 32 | 12% |
Unknown | 41 | 16% |