HKGAIL: Policy shaping via integrating human knowledge with generative adversarial imitation learning

Abstract Generative adversarial imitation learning (GAIL) has shown good results in several research areas by taking advantage of generative adversarial networks. However, GAIL lacks a reward mechanism and usually adopts a model‐free approach based on stochastic policies, which is not ideal for solv...

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Bibliographic Details
Main Authors: Yanfei Peng, Guozhen Tan, Huaiwei Si
Format: Article
Language:English
Published: Wiley 2023-07-01
Series:IET Intelligent Transport Systems
Subjects:
Online Access:https://doi.org/10.1049/itr2.12313