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Reinforcement learning (RL) has proven to be a powerful tool for training agents that excel in various games. However, the black-box nature of neural network models often hinders our ability to understand the reasoning behind the agent's actions. Rec
Externí odkaz:
http://arxiv.org/abs/2406.06107
Autor:
Fei, Rong1 (AUTHOR) annyfei@xaut.edu.cn, Sha, Jingyuan1 (AUTHOR), Xu, Qingzheng2 (AUTHOR), Hu, Bo3 (AUTHOR), Wang, Kan1 (AUTHOR), Li, Shasha1 (AUTHOR)
Publikováno v:
EURASIP Journal on Wireless Communications & Networking. 5/11/2020, Vol. 2020 Issue 1, p1-25. 25p.