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Minibatch Recursive Least Squares Q-Learning

The deep Q-network (DQN) is one of the most successful reinforcement learning algorithms, but it has some drawbacks such as slow convergence and instability. In contrast, the traditional reinforcement learning algorithms with linear function approximation usually have faster convergence and better s...

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Detalles Bibliográficos
Autores principales: Zhang, Chunyuan, Song, Qi, Meng, Zeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8519689/
https://www.ncbi.nlm.nih.gov/pubmed/34659393
http://dx.doi.org/10.1155/2021/5370281

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