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Multi-Principal Assistance Games
[article]
2020
arXiv
pre-print
Assistance games (also known as cooperative inverse reinforcement learning games) have been proposed as a model for beneficial AI, wherein a robotic agent must act on behalf of a human principal but is initially uncertain about the humans payoff function. This paper studies multi-principal assistance games, which cover the more general case in which the robot acts on behalf of N humans who may have widely differing payoffs. Impossibility theorems in social choice theory and voting theory can be
arXiv:2007.09540v1
fatcat:nfzulxfh2rbktewqfvawvehip4