Efficient hierarchical policy network with fuzzy rules

Author:

Shi Wei,Feng YangheORCID,Huang Honglan,Liu Zhong,Huang Jincai,Cheng Guangquan

Funder

national natural science foundation of china

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference35 articles.

1. Al-taezi M, Zhu P, Hu Q, Wang Y, Al-badwi A (2021) Self-paced hierarchical metric learning (SPHML). Int J Mach Learn Cybernetics 12(9):2529–2541. https://doi.org/10.1007/s13042-021-01336-2

2. An S, Hu Q, Wang C, Guo G, Li P (2021) Data reduction based on NN-kNN measure for NN classification and regression. Int J Mach Learn Cybern. https://doi.org/10.1007/s13042-021-01327-3

3. Bakker B, Schmidhuber J (2003) Hierarchical reinforcement learning based on automatic discovery of subgoals and specialization of subpolicies. In: EWRL-6’2003: European workshop on reinforcement learning

4. Barto AG, Mahadevan S (2003) Recent advances in hierarchical reinforcement learning. Discrete Event Dyn Syst 13(1–2):341–379

5. Dietterich TG (1998) The maxq method for hierarchical reinforcement learning. In: Proceedings of the 15th international conference on machine learning

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