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Deep Reinforcement Learning (DRL) has made significant advancements in various fields, such as autonomous driving, healthcare, and robotics, by enabling agents to learn optimal policies through interactions with their environments. However, the appli
Externí odkaz:
http://arxiv.org/abs/2308.02594
Autor:
Zolfagharian, Amirhossein, Abdellatif, Manel, Briand, Lionel, Bagherzadeh, Mojtaba, S, Ramesh
Publikováno v:
in IEEE Transactions on Software Engineering, vol. 49, no. 7, pp. 3715-3735, July 2023
Deep Reinforcement Learning (DRL) algorithms have been increasingly employed during the last decade to solve various decision-making problems such as autonomous driving and robotics. However, these algorithms have faced great challenges when deployed
Externí odkaz:
http://arxiv.org/abs/2206.07813
Akademický článek
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