48 citations · 76 across the 6 of their papers we have counts for
1 paper · 1 filter
Yubo Huang, Xuechun Wang, Luobao Zou +2
In reinforcement learning (RL), we always expect the agent to explore as many states as possible in the initial stage of training and exploit the explored information in the subseq…