reuse_encoder,
)
self.action_encoder = self._create_action_encoder(
self.current_action,
self.h_size,
self.action_feature_size,
action_layers,
self.action_encoder = self.current_action # self._create_action_encoder(
# self.current_action,
# self.h_size,
# self.action_feature_size,
# action_layers,
# )
if not reuse_encoder:
self.targ_encoder = tf.stop_gradient(self.targ_encoder)