Learned preference functions in multi-objective environments exhibit contextual priority switching, graded trade-offs, and temporal persistence, outperforming fixed-preference and handcrafted-preference strategies

Experiments in self-constructed multi-objective exploration environments show that the learned preference function exhibits contextual priority switching, graded trade-offs, and temporal persistence, and outperforms the evaluated fixed-preference and handcrafted-preference strategies.

http://arxiv.org/abs/2608.27072v1