Interpretability by Design for Efficient Multi-Objective Reinforcement Learning

Qiyue Xia, Tianwei Wang, J. Michael Herrmann

Multi-objective reinforcement learning (MORL) aims at optimising several, often conflicting goals to improve the flexibility and reliability of RL in practical tasks. This is typic…