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.