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X Demographics
Mendeley readers
Title |
Investigation of independent reinforcement learning algorithms in multi-agent environments
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Published in |
Frontiers in Artificial Intelligence, September 2022
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DOI | 10.3389/frai.2022.805823 |
Pubmed ID | |
Authors |
Ken Ming Lee, Sriram Ganapathi Subramanian, Mark Crowley |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 50% |
Canada | 1 | 17% |
Switzerland | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 67% |
Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 13% |
Researcher | 2 | 13% |
Student > Master | 2 | 13% |
Student > Bachelor | 1 | 7% |
Other | 1 | 7% |
Other | 0 | 0% |
Unknown | 7 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 20% |
Engineering | 3 | 20% |
Earth and Planetary Sciences | 1 | 7% |
Design | 1 | 7% |
Unknown | 7 | 47% |