69 citations · 71 across the 3 of their papers we have counts for
1 paper · 2 filters
Mikihisa Yuasa, Huy T. Tran, Ramavarapu S. Sreenivas
Understanding a \textit{reinforcement learning} policy, which guides state-to-action mappings to maximize rewards, necessitates an accompanying explanation for human comprehension.…