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News/Constrained Multi-Objective Reinforcement Learning with Max-Min Criterion
arxiv
PublishedJune 1, 2026 at 4:00 AM

Constrained Multi-Objective Reinforcement Learning with Max-Min Criterion

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Publisher summary· verbatim

arXiv:2605.31388v1 Announce Type: new Abstract: Multi-Objective Reinforcement Learning (MORL) extends standard RL by optimizing policies with respect to multiple, often conflicting, objectives. While max-min MORL has emerged as an effective approach for promoting fairness, its applicability remains

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