Deep Reinforcement Learning with Interactive Feedback in a Human–Robot Environment

Deep Reinforcement Learning with Interactive Feedback in a Human–Robot Environment

Robots are extending their presence in domestic environments every day, it being more common to see them carrying out tasks in home scenarios. In the future, robots are expected to increasingly perform more complex tasks and, therefore, be able to acquire experience from different sources as quickly...

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Bibliographic Details
Main Authors:	Ithan Moreira, Javier Rivas, Francisco Cruz, Richard Dazeley, Angel Ayala, Bruno Fernandes
Format:	Article
Language:	English
Published:	MDPI AG 2020-08-01
Series:	Applied Sciences
Subjects:	robotics interactive deep reinforcement learning deep reinforcement learning domestic scenario
Online Access:	https://www.mdpi.com/2076-3417/10/16/5574

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