Figure 9From: Robustness of quantum reinforcement learning under hardware errorsComparison of average learned policies (PG) and Q-functions (QL) of agents from Fig. 7 and Fig. 8, in the noise-free setting (blue) and with a perturbation level \(\sigma =0.2\) (yellow)Back to article page