Example #1
0
 def run_trial_tf(self, policy, time_to_run=5):
     """ Run an async controller from a policy. The async controller receives observations from ROS subscribers
      and then uses them to publish actions."""
     should_stop = False
     consecutive_failures = 0
     start_time = time.time()
     while should_stop is False:
         if self.observations_stale is False:
             consecutive_failures = 0
             last_obs = tf_obs_msg_to_numpy(self._tf_subscriber_msg)
             action_msg = tf_policy_to_action_msg(self.dU,
                                                  self._get_new_action(policy, last_obs),
                                                  self.current_action_id)
             self._tf_publish(action_msg)
             self.observations_stale = True
             self.current_action_id += 1
         else:
             rospy.sleep(0.01)
             consecutive_failures += 1
             if time.time() - start_time > time_to_run and consecutive_failures > 5:
                 # we only stop when we have run for the trial time and are no longer receiving obs.
                 should_stop = True
     rospy.sleep(0.25)  # wait for finished trial to come in.
     result = self._trial_service._subscriber_msg
     return result  # the trial has completed. Here is its message.
Example #2
0
 def run_trial_tf(self, policy, time_to_run=5):
     """ Run an async controller from a policy. The async controller receives observations from ROS subscribers
      and then uses them to publish actions."""
     should_stop = False
     consecutive_failures = 0
     start_time = time.time()
     while should_stop is False:
         if self.observations_stale is False:
             consecutive_failures = 0
             last_obs = tf_obs_msg_to_numpy(self._tf_subscriber_msg)
             action_msg = tf_policy_to_action_msg(
                 self.dU, self._get_new_action(policy, last_obs),
                 self.current_action_id)
             self._tf_publish(action_msg)
             self.observations_stale = True
             self.current_action_id += 1
         else:
             rospy.sleep(0.01)
             consecutive_failures += 1
             if time.time(
             ) - start_time > time_to_run and consecutive_failures > 5:
                 # we only stop when we have run for the trial time and are no longer receiving obs.
                 should_stop = True
     rospy.sleep(0.25)  # wait for finished trial to come in.
     result = self._trial_service._subscriber_msg
     return result  # the trial has completed. Here is its message.
Example #3
0
 def _get_obs(self, msg, condition):
     return tf_obs_msg_to_numpy(msg)