def _future_action(self, ns, terminal, np_actions, ns_phi, na):
        return self.representation.bestAction(ns, terminal, np_actions, ns_phi)
Q Learning chooses the optimal action
dataset/ETHPy150Open rlpy/rlpy/rlpy/Agents/TDControlAgent.py/Q_Learning._future_action