MPR-RL: Multi-Prior Regularized Reinforcement Learning for Knowledge Transfer

Autor:	Quantao Yang, Johannes A. Stork, Todor Stoyanov
Rok vydání:	2022
Předmět:	Human-Computer Interaction Control and Optimization Artificial Intelligence Control and Systems Engineering Mechanical Engineering Biomedical Engineering Computer Vision and Pattern Recognition Computer Science Applications
Zdroj:	IEEE Robotics and Automation Letters. 7:7652-7659
ISSN:	2377-3774
DOI:	10.1109/lra.2022.3184805
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::169695b73e7bfb2c91cf6d24557839e0 https://doi.org/10.1109/lra.2022.3184805 Zobrazit plný text záznamu