15 citations · 43 across the 10 of their papers we have counts for
1 paper · 1 filter
Xingxing Liang, Yang Ma, Yanghe Feng +1
On-policy deep reinforcement learning algorithms have low data utilization and require significant experience for policy improvement. This paper proposes a proximal policy optimiza…