Domain Adaptation for Imitation Learning Using Generative Adversarial Network
Imitation learning is an effective approach for an autonomous agent to learn control policies when an explicit reward function is unavailable, using demonstrations provided from an expert. However, standard imitation learning methods assume that the agents and the demonstrations provided by the expe...
Main Authors: | Tho Nguyen Duc, Chanh Minh Tran, Phan Xuan Tan, Eiji Kamioka |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/14/4718 |
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