Can reinforcement learning learn itself? A reply to 'Reward is enough'

Cifma (2021)
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Abstract

In their paper 'Reward is enough', Silver et al conjecture that the creation of sufficiently good reinforcement learning (RL) agents is a path to artificial general intelligence (AGI). We consider one aspect of intelligence Silver et al did not consider in their paper, namely, that aspect of intelligence involved in designing RL agents. If that is within human reach, then it should also be within AGI's reach. This raises the question: is there an RL environment which incentivises RL agents to design RL agents?

Author's Profile

Samuel Allen Alexander
Ohio State University (PhD)

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