Self reward design with fine-grained interpretability

• المؤلفون الرئيسيون: Tjoa, Erico, Guan, Cuntai
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Deep Neural Network; Human
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/169406

The black-box nature of deep neural networks (DNN) has brought to attention the issues of transparency and fairness. Deep Reinforcement Learning (Deep RL or DRL), which uses DNN to learn its policy, value functions etc, is thus also subject to similar concerns. This paper proposes a way to circumven...