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pro vyhledávání: '"Aggarwal, Deeksha"'
Autor:
Senthilnath, J., Zhou, Bangjian, Ng, Zhen Wei, Aggarwal, Deeksha, Dutta, Rajdeep, Yoon, Ji Wei, Aung, Aye Phyu Phyu, Wu, Keyu, Wu, Min, Li, Xiaoli
In the realm of sequential decision-making tasks, the exploration capability of a reinforcement learning (RL) agent is paramount for achieving high rewards through interactions with the environment. To enhance this crucial ability, we propose SAQN, a
Externí odkaz:
http://arxiv.org/abs/2402.11604
Publikováno v:
Journal of High Speed Networks; 2024, Vol. 30 Issue 3, p333-354, 22p