Baiting Zhu

Scaling Pareto-Efficient Decision Making via Offline Multi-Objective RL

The goal of multi-objective reinforcement learning (MORL) is to learn policies that simultaneously optimize multiple competing objectives. In practice, an agent's preferences over the objectives may not be known apriori, and hence, we require policies that can generalize to arbitrary preferences at…