def __init__(
self, model=None, replay=None, exploration=None, actor_updater=None,
critic_updater=None
):
self.model = model or default_model()
self.replay = replay or replays.Buffer()
self.exploration = exploration or explorations.NormalActionNoise()
self.actor_updater = actor_updater or \
updaters.DeterministicPolicyGradient()
self.critic_updater = critic_updater or \
updaters.DeterministicQLearning()
def default_exploration():
return explorations.NormalActionNoise(scale=0.1, start_steps=10000)