Self reward design with fine-grained interpretability

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...

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Detalhes bibliográficos
Principais autores: Tjoa, Erico, Guan, Cuntai
Outros Autores: School of Computer Science and Engineering
Formato: Journal Article
Idioma:English
Publicado em: 2023
Assuntos:
Acesso em linha:https://hdl.handle.net/10356/169406