A Single Deep Preference-Conditioned Policy for Learning Pareto Coverage Sets

Akihiro Kubo, Kosuke Nakanishi, Shin Ishii

Preference-conditioned multi-objective reinforcement learning aims to learn a single policy that captures trade-offs across preferences, but under nonlinear scalarization the uniqu…