Results (1)
Search Parameters:
Author/Affiliation: Tomohiro HayashidaHypervolume-Based Multi-Objective Reinforcement Learning: Interactive Approach
Advances in Science, Technology and Engineering Systems Journal,
Volume 4,
Issue 1,
Page # 93–100,
2019;
DOI: 10.25046/aj040110
Abstract:
In this paper, we propose a procedure of interactive multi-objective reinforcement learning for multi-step decision problems based on the preference of a decision maker. The proposed method is constructed based on the multi-objective reinforcement learning which is applied to multi-step multi-objective optimization problems. The existing literature related to the multi-objective reinforcement learning indicate that the…
Read More(This article belongs to Section Artificial Intelligence in Computer Science (CAI))
