On the Broad Implications of Reinforcement Learning based AGI

Authors:
Scott Livingston;Jamie Garvey;Itamar Elhanany
Affiliations:
Department of Electrical Engineering and Computer Science;Department of Nuclear Engineering, The University of Tennessee, Knoxville, TN;Department of Electrical Engineering and Computer Science
Venue:
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Year:
2008

Citing 2
Cited 0

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Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference

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Abstract

Reinforcement learning (RL) is an attractive machine learning discipline in the context of Artificial General Intelligence (AGI). This paper focuses on the intersection between RL and AGI by first speculating on what are the missing components that would facilitate the realization of RL-based AGI. Based on this paradigm, we touch on several of the key moral and practical issues that will inevitably arise.