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Risk-Sensitive Cooperative Games for Human-Machine Systems
[article]
2017
arXiv
pre-print
Autonomous systems can substantially enhance a human's efficiency and effectiveness in complex environments. Machines, however, are often unable to observe the preferences of the humans that they serve. Despite the fact that the human's and machine's objectives are aligned, asymmetric information, along with heterogeneous sensitivities to risk by the human and machine, make their joint optimization process a game with strategic interactions. We propose a framework based on risk-sensitive
arXiv:1705.09580v1
fatcat:4o6gsgl42ze3beq6yyffyju7kq