此研究以強化學習作業服務 (RLOps service) 為基礎，欲利用設計思考的方式提升此服務，減緩強化學習陡峭的學習曲線，降低強化學習進入障礙，並增進開發上的實驗效率與簡化流程。而透過 RLOps service所提供的部署和管理方式，將可再進一步協助使用者分析與版本控制所訓練出的代理人策略。
並提出了定位於金融投資領域的強化學習作業服務，InvestPRL 服務，來邀請受測者進行實驗，以將其使用情形作為考量，來探討此研究的主要目的。即為設計思考所帶給強化學習作業服務在採用度上的改進以增進強化學習的運用潛力，與瞭解未來RLOps service 在提供服務予使用者時需注意的議題。最後，透過此實驗的結果了解到，將設計思考應用在RLOps service 當中時，將可提升其服務的採用度，且特別在於其中的易用性與適配度的部分最為顯著。

Through the base of Reinforcement Learning Operations Service (RLOps service) in this study, employing design thinking aims to ease the steep learning curve in reinforcement learning, reduce entry barriers, enhance experimental efficiency, and simplify the development process. Moreover, the management capabilities provided by RLOps service further assist users in analyzing and version-controlling the trained agent strategies.
The study introduces the InvestPRL service for the experiment, an RLOps service positioned in the financial investment field, and invites participants to interact with it. By considering their usage, the study explores the primary objective: understanding how design thinking improves the adoption of RLOps services, enhances its potential applications, and identifies key issues for future RLOps services.
The experimental results demonstrate that applying design thinking to the RLOps service increases its adoption, particularly improving ease of use and compatibility.

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