def test_rollout_preprocess(self, mock_parameters):
self._setup_parameters(mock_parameters.return_value)
mock_parameters.return_value.preprocessing = \
'cntk.contrib.deeprl.agent.shared.preprocessing.SlidingWindow'
mock_parameters.return_value.preprocessing_args = '(2, "float32")'
action_space = spaces.Discrete(2)
observation_space = spaces.Box(0, 1, (1, ))
sut = ActorCritic('', observation_space, action_space)
sut._choose_action = Mock(side_effect=[(0, ''), (1, ''), (1, '')])
sut.start(np.array([0.1], np.float32))
sut.step(0.1, np.array([0.2], np.float32))
sut.step(0.2, np.array([0.3], np.float32))
self.assertEqual(sut._trajectory_rewards, [0.1, 0.2])
self.assertEqual(sut._trajectory_actions, [0, 1, 1])
np.testing.assert_array_equal(sut._trajectory_states, [
np.array([[0], [0.1]], np.float32),
np.array([[0.1], [0.2]], np.float32),
np.array([[0.2], [0.3]], np.float32)
])
sut.end(0.3, np.array([0.4], np.float32))
self.assertEqual(sut._trajectory_rewards, [0.1, 0.2, 0.3])
self.assertEqual(sut._trajectory_actions, [0, 1, 1])
np.testing.assert_array_equal(sut._trajectory_states, [
np.array([[0], [0.1]], np.float32),
np.array([[0.1], [0.2]], np.float32),
np.array([[0.2], [0.3]], np.float32)
])
def test_rollout_with_update(self, mock_parameters):
self._setup_parameters(mock_parameters.return_value)
mock_parameters.return_value.update_frequency = 2
action_space = spaces.Discrete(2)
observation_space = spaces.Box(0, 1, (1, ))
sut = ActorCritic('', observation_space, action_space)
sut._update_networks = MagicMock()
sut._choose_action = Mock(
side_effect=[(0, ''), (1, ''), (1, ''), (0, ''), (1, ''), (0, '')])
sut.start(np.array([0.1], np.float32))
sut.step(0.1, np.array([0.2], np.float32))
self.assertEqual(sut._trajectory_rewards, [0.1])
self.assertEqual(sut._trajectory_actions, [0, 1])
self.assertEqual(sut._trajectory_states, [0.1, 0.2])
self.assertEqual(sut._update_networks.call_count, 0)
sut.step(0.2, np.array([0.3], np.float32))
self.assertEqual(sut._trajectory_rewards, [])
self.assertEqual(sut._trajectory_actions, [1])
self.assertEqual(sut._trajectory_states, [0.3])
self.assertEqual(sut._update_networks.call_count, 1)
sut.step(0.3, np.array([0.4], np.float32))
self.assertEqual(sut._trajectory_rewards, [0.3])
self.assertEqual(sut._trajectory_actions, [1, 0])
self.assertEqual(sut._trajectory_states, [0.3, 0.4])
self.assertEqual(sut._update_networks.call_count, 1)
sut.start(np.array([0.5], np.float32))
self.assertEqual(sut._trajectory_rewards, [])
self.assertEqual(sut._trajectory_actions, [1])
self.assertEqual(sut._trajectory_states, [0.5])
self.assertEqual(sut._update_networks.call_count, 1)
sut.step(0.4, np.array([0.6], np.float32))
self.assertEqual(sut._trajectory_rewards, [])
self.assertEqual(sut._trajectory_actions, [0])
self.assertEqual(sut._trajectory_states, [0.6])
self.assertEqual(sut._update_networks.call_count, 2)
sut.end(0.5, np.array([0.7], np.float32))
self.assertEqual(sut._trajectory_rewards, [0.5])
self.assertEqual(sut._trajectory_actions, [0])
self.assertEqual(sut._trajectory_states, [0.6])
self.assertEqual(sut._update_networks.call_count, 2)
def test_rollout_with_update(self, mock_parameters):
self._setup_parameters(mock_parameters.return_value)
mock_parameters.return_value.update_frequency = 2
action_space = spaces.Discrete(2)
observation_space = spaces.Box(0, 1, (1,))
sut = ActorCritic('', observation_space, action_space)
sut._update_networks = MagicMock()
sut._choose_action = Mock(side_effect=[
(0, ''), (1, ''), (1, ''), (0, ''), (1, ''), (0, '')])
sut.start(np.array([0.1], np.float32))
sut.step(0.1, np.array([0.2], np.float32))
self.assertEqual(sut._trajectory_rewards, [0.1])
self.assertEqual(sut._trajectory_actions, [0, 1])
self.assertEqual(sut._trajectory_states, [0.1, 0.2])
self.assertEqual(sut._update_networks.call_count, 0)
sut.step(0.2, np.array([0.3], np.float32))
self.assertEqual(sut._trajectory_rewards, [])
self.assertEqual(sut._trajectory_actions, [1])
self.assertEqual(sut._trajectory_states, [0.3])
self.assertEqual(sut._update_networks.call_count, 1)
sut.step(0.3, np.array([0.4], np.float32))
self.assertEqual(sut._trajectory_rewards, [0.3])
self.assertEqual(sut._trajectory_actions, [1, 0])
self.assertEqual(sut._trajectory_states, [0.3, 0.4])
self.assertEqual(sut._update_networks.call_count, 1)
sut.start(np.array([0.5], np.float32))
self.assertEqual(sut._trajectory_rewards, [])
self.assertEqual(sut._trajectory_actions, [1])
self.assertEqual(sut._trajectory_states, [0.5])
self.assertEqual(sut._update_networks.call_count, 1)
sut.step(0.4, np.array([0.6], np.float32))
self.assertEqual(sut._trajectory_rewards, [])
self.assertEqual(sut._trajectory_actions, [0])
self.assertEqual(sut._trajectory_states, [0.6])
self.assertEqual(sut._update_networks.call_count, 2)
sut.end(0.5, np.array([0.7], np.float32))
self.assertEqual(sut._trajectory_rewards, [0.5])
self.assertEqual(sut._trajectory_actions, [0])
self.assertEqual(sut._trajectory_states, [0.6])
self.assertEqual(sut._update_networks.call_count, 2)
def test_rollout(self):
action_space = spaces.Discrete(2)
observation_space = spaces.Box(0, 1, (1, ))
sut = ActorCritic('', observation_space, action_space)
sut._choose_action = Mock(side_effect=[(0, ''), (1, ''), (1, '')])
sut.start(np.array([0.1], np.float32))
sut.step(0.1, np.array([0.2], np.float32))
sut.step(0.2, np.array([0.3], np.float32))
self.assertEqual(sut._trajectory_rewards, [0.1, 0.2])
self.assertEqual(sut._trajectory_actions, [0, 1, 1])
self.assertEqual(sut._trajectory_states, [0.1, 0.2, 0.3])
sut.end(0.3, np.array([0.4], np.float32))
self.assertEqual(sut._trajectory_rewards, [0.1, 0.2, 0.3])
self.assertEqual(sut._trajectory_actions, [0, 1, 1])
self.assertEqual(sut._trajectory_states, [0.1, 0.2, 0.3])
def test_rollout(self):
action_space = spaces.Discrete(2)
observation_space = spaces.Box(0, 1, (1,))
sut = ActorCritic('', observation_space, action_space)
sut._choose_action = Mock(side_effect=[(0, ''), (1, ''), (1, '')])
sut.start(np.array([0.1], np.float32))
sut.step(0.1, np.array([0.2], np.float32))
sut.step(0.2, np.array([0.3], np.float32))
self.assertEqual(sut._trajectory_rewards, [0.1, 0.2])
self.assertEqual(sut._trajectory_actions, [0, 1, 1])
self.assertEqual(sut._trajectory_states, [0.1, 0.2, 0.3])
sut.end(0.3, np.array([0.4], np.float32))
self.assertEqual(sut._trajectory_rewards, [0.1, 0.2, 0.3])
self.assertEqual(sut._trajectory_actions, [0, 1, 1])
self.assertEqual(sut._trajectory_states, [0.1, 0.2, 0.3])
def test_rollout_preprocess(self, mock_parameters):
self._setup_parameters(mock_parameters.return_value)
mock_parameters.return_value.preprocessing = \
'cntk.contrib.deeprl.agent.shared.preprocessing.SlidingWindow'
mock_parameters.return_value.preprocessing_args = '(2, "float32")'
action_space = spaces.Discrete(2)
observation_space = spaces.Box(0, 1, (1,))
sut = ActorCritic('', observation_space, action_space)
sut._choose_action = Mock(side_effect=[(0, ''), (1, ''), (1, '')])
sut.start(np.array([0.1], np.float32))
sut.step(0.1, np.array([0.2], np.float32))
sut.step(0.2, np.array([0.3], np.float32))
self.assertEqual(sut._trajectory_rewards, [0.1, 0.2])
self.assertEqual(sut._trajectory_actions, [0, 1, 1])
np.testing.assert_array_equal(
sut._trajectory_states,
[
np.array([[0], [0.1]], np.float32),
np.array([[0.1], [0.2]], np.float32),
np.array([[0.2], [0.3]], np.float32)
])
sut.end(0.3, np.array([0.4], np.float32))
self.assertEqual(sut._trajectory_rewards, [0.1, 0.2, 0.3])
self.assertEqual(sut._trajectory_actions, [0, 1, 1])
np.testing.assert_array_equal(
sut._trajectory_states,
[
np.array([[0], [0.1]], np.float32),
np.array([[0.1], [0.2]], np.float32),
np.array([[0.2], [0.3]], np.float32)
])