Lawrence Chan
Lawrence Chan
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Human irrationality: both bad and good for reward inference
We study the effect of human irrationality on reward inference. We find that irrationality can both help and hurt reward inference, depending on the type of irrationality. We also find that the effect of irrationality on reward inference is not monotonic in the degree of irrationality.
Lawrence Chan
,
Andrew Critch
,
Anca Dragan
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arXiv
Benefits of assistance over reward learning
We illustrate the benefits of agents that try to assist humans, over agents that learn a reward during training and then maximize said reward after deployment.
Rohin Shah
,
Pedro Freire
,
Neel Alex
,
Rachel Freedman
,
Dmitrii Krasheninnikov
,
Lawrence Chan
,
Michael D Dennis
,
Pieter Abbeel
,
Anca Dragan
,
Stuart Russell
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Code
Accounting for Human Learning when Inferring Human Preferences
Harry Giles
,
Lawrence Chan
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arXiv
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