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Goal-Conditioned Supervised Learning for Multi-Objective Recommendation

A Multi-Objective Goal-Conditioned Supervised Learning (MOGCSL) framework for automatically learning to achieve multiple objectives from offline sequential data and a novel goal-selection algorithm for MOGCSL to model and identify desired and achievable goals for inference.

Shi-Jun Li, Hilaf Hasson, Jing Hu et al. · 1 citation

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