Authors
Samuel Allen Alexander
samuelallenalexander@gmail.com
Quantitative Research Analyst, The U.S. Securities and Exchange Commission, New York Regional Office
The Archimedean trap: Why traditional reinforcement learning will probably not yield AGI
DOI: https://doi.org/10.2478/jagi-2020-0004 | Journal eISSN: 1946-0163
Language: English
Page range: 70 - 85
Submitted on: Feb 16, 2020
Accepted on: Sep 29, 2020
Published on: Oct 15, 2020
Published by: Artificial General Intelligence Society
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Related subjects:
© 2020 Samuel Allen Alexander, published by Artificial General Intelligence Society
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.