arxiv
PublishedSeptember 22, 2026 at 4:00 AM
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The Role of Coordinates in Pareto Regret for Adversarial Multi-Objective Bandits
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arXiv:2609.23092v1 Announce Type: new Abstract: Adversarial multi-objective bandits hold the potential to help us optimize choices (arms) whose reward is a multidimensional vector chosen by an adversary and whose performance is measured by Pareto regret. We define loss as one minus reward and measur
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Originally published on arxiv ↗