Search Results

Results (1)

Search Parameters:

Author/Affiliation: Tomohiro Hayashida
Order results
Results per page
Open AccessArticle
8 Pages, 1,050 KB Download PDF

Hypervolume-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))

Journal Menu

Journal Browser


Special Issues

Special Issue on Digital Frontiers of Entrepreneurship: Integrating AI, Gender Equity, and Sustainable Futures
Guest Editors: Dr. Muhammad Nawaz Tunio, Dr. Aamir Rashid, Dr. Imamuddin Khoso
Deadline: 30 May 2026

Special Issue on Sustainable Technologies for a Resilient Future
Guest Editors: Dr. Debasis Mitra, Dr. Sourav Chattaraj, Dr. Addisu Assefa
Deadline: 30 April 2026