For instance, RL-Extract is 11.4% more accurate than the basic Maxent extractor on City and 7.1% better on NumKilled, while also achieving gains of more than 5% on the other entities on the Shootings domain.
the DQN, in which the Q-function is approximated using a deep neural network, has been shown to learn better value functions than linear approximators (Narasimhan et al., 2015;He et al., 2015) and can capture non-linear interactions between the different pieces of information in our state.