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:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
Kuala Lumpur :
Kulliyyah of Engineering, International Islamic University Malaysia,
2021
|
Subjects: | |
Online Access: | http://studentrepo.iium.edu.my/handle/123456789/10691 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|