Uniform-Ironed-Virtual-Value Item Pricing achieves a tight 3-approximation to the Duality Relaxation Benchmark in unit-demand single-buyer revenue maximization.
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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.
A neural mechanism learns to allocate resources dynamically, trading utility for fairness in sequential demand scenarios.
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Benchmark-Tight Approximation Ratio of Simple Mechanism for a Unit-Demand Buyer
Uniform-Ironed-Virtual-Value Item Pricing achieves a tight 3-approximation to the Duality Relaxation Benchmark in unit-demand single-buyer revenue maximization.
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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.
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Trading Utility for Dynamic Fairness in Multiple Resource Division with Sequential Demand
A neural mechanism learns to allocate resources dynamically, trading utility for fairness in sequential demand scenarios.