A comparison-based gradient estimation algorithm for sequential multi-issue resource trading between two greedily rational agents guarantees strict utility improvements per accepted trade and asymptotic convergence to the Pareto front under mild assumptions.
Learning on opponent’s preferences to make effective multi-issue negotiation trade-offs
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Sequential Resource Trading Using Comparison-Based Gradient Estimation
A comparison-based gradient estimation algorithm for sequential multi-issue resource trading between two greedily rational agents guarantees strict utility improvements per accepted trade and asymptotic convergence to the Pareto front under mild assumptions.