Nonsmooth gradient ascent on layered hypervolume and magnitude indicators moves sets to the Pareto front.
The Hypervolume Indicator: Computational Problems and Algorithms,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Standard MORL metrics do not measure whether preference inputs reliably control agent behavior, so a new controllability metric is introduced to restore the link between user intent and agent output.
citing papers explorer
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Nonsmooth Set-Gradient Ascent to the Pareto Front via Layered Hypervolume and Magnitude Indicators
Nonsmooth gradient ascent on layered hypervolume and magnitude indicators moves sets to the Pareto front.
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Controllability in preference-conditioned multi-objective reinforcement learning
Standard MORL metrics do not measure whether preference inputs reliably control agent behavior, so a new controllability metric is introduced to restore the link between user intent and agent output.