The paper formalizes fair multi-policy MORL and proposes algorithms integrating generalized Gini welfare functions with multi-policy MOQL, including variants for non-stationary and stochastic policies, showing fair policies lie in the convex coverage set.
Fairness and sequential decision making: Limits, lessons, and opportunities.arXiv preprint arXiv:2301.05753,
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Learning Fair Pareto-Optimal Policies in Multi-Objective Reinforcement Learning
The paper formalizes fair multi-policy MORL and proposes algorithms integrating generalized Gini welfare functions with multi-policy MOQL, including variants for non-stationary and stochastic policies, showing fair policies lie in the convex coverage set.