On the Broad Implications of Reinforcement Learning based AGI
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1 year ago
At the AGI-08 Workshop session, Scott Livingston presents on a paper by the speaker Jamie Garvey and Itamar Elhanany. The paper argues that Reinforcement learning (RL) would be considered an attractive machine learning discipline in the context of Artificial General Intelligence (AGI), and 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.At the AGI-08 Workshop session, Scott Livingston presents on a paper by the speaker Jamie Garvey and Itamar Elhanany. The paper argues that...all »At the AGI-08 Workshop session, Scott Livingston presents on a paper by the speaker Jamie Garvey and Itamar Elhanany. The paper argues that Reinforcement learning (RL) would be considered an attractive machine learning discipline in the context of Artificial General Intelligence (AGI), and 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.«
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