Visual Navigation Using Inverse Reinforcement Learning and an Extreme Learning Machine

Visual Navigation Using Inverse Reinforcement Learning and an Extreme Learning Machine

In this paper, we focus on the challenges of training efficiency, the designation of reward functions, and generalization in reinforcement learning for visual navigation and propose a regularized extreme learning machine-based inverse reinforcement learning approach (RELM-IRL) to improve the navigat...

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Bibliographic Details
Main Authors: Qiang Fang, Wenzhuo Zhang, Xitong Wang
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Electronics
Subjects:
visual navigation
inverse reinforcement learning (IRL)
extreme learning machine (ELM)
deep learning
A3C
Online Access:https://www.mdpi.com/2079-9292/10/16/1997

Internet

https://www.mdpi.com/2079-9292/10/16/1997

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