Improvement of deep reinforcement models using extreme learning machine for autonomous agents in unstructured environment /
Creating an autonomous agent, that gets real observations such as sensory data and images from the surrounding environment and learns optimal sequential actions, has been considered as one of the main goals of Artificial General Intelligence (AGI). Deep (Hierarchical) Reinforcement Learning (HRL/DRL...
Saved in:
主要作者: | Aldahoul, Nouar (Author) |
---|---|
格式: | Thesis |
語言: | English |
出版: |
Kuala Lumpur :
Kulliyyah of Engineering, International Islamic University Malaysia,
2021
|
主題: | |
在線閱讀: | http://studentrepo.iium.edu.my/handle/123456789/10691 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Image and video based emotion recognition using deep learning /
由: Arselan Ashraf
出版: (2021) -
A deep learning framework for the defection of source code plagiarism using Siamese network and embedding models /
由: Manahi, Mohammed S.M
出版: (2021) -
A study and enhancements of reinforcement learning methods /
由: Lee, Chin Yew
出版: (1998) -
Preventive and curative health profiling based on augmented Event-Related Potentials (ERP) and machine learning /
由: Saffiera, Cut Amalia
出版: (2020) -
Deep reinforcement learning for autonomous driving /
由: Osman, Hassan Abdalla Abdelkarim
出版: (2019)