1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning
Willem Röpke, Mathieu Reymond, Patrick Mannion +3
An important challenge in multi-objective reinforcement learning is obtaining a Pareto front of policies to attain optimal performance under different preferences. We introduce Ite…
cs.AI2023★ 1 cited
Distributional Multi-Objective Decision Making
Willem Röpke, Conor F. Hayes, Patrick Mannion +3
For effective decision support in scenarios with conflicting objectives, sets of potentially optimal solutions can be presented to the decision maker. We explore both what policies…