Self reward design with fine-grained interpretability

• Main Authors: Tjoa, Erico, Guan, Cuntai
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Deep Neural Network; Human
• Online Access: https://hdl.handle.net/10356/169406
• Institution: Nanyang Technological University

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...