The paper argues for modeling ethics in RL as relatively stable habits and dispositions rather than rules or scalar rewards, and provides a four-part roadmap using social learning, multi-objective methods, regularization, and diverse ethical traditions.
Right action and the non-virtuous agent.Journal of Applied Philosophy, 28(1):80–92, 2011
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Toward Virtuous Reinforcement Learning: A Critique and Roadmap
The paper argues for modeling ethics in RL as relatively stable habits and dispositions rather than rules or scalar rewards, and provides a four-part roadmap using social learning, multi-objective methods, regularization, and diverse ethical traditions.