def create_training_agent(agent_config):
'''Returns an training agent object
agent_config - Dictionary containing the key specified in ConfigParams
'''
model_metadata = agent_config['model_metadata']
observation_list, network, _ = utils_parse_model_metadata.parse_model_metadata(model_metadata)
sensor = construct_sensor(observation_list, SensorFactory)
network_settings = get_network_settings(sensor, network)
sensor = construct_sensor(observation_list, SensorFactory)
ctrl_config = agent_config['car_ctrl_cnfig']
ctrl = TrainingCtrl(ctrl_config[ConfigParams.AGENT_NAME.value],
ctrl_config[ConfigParams.ACTION_SPACE_PATH.value])
return Agent(network_settings, sensor, ctrl, None)
def create_training_agent(agent_config):
'''Returns an training agent object
agent_config - Dictionary containing the key specified in ConfigParams
'''
model_metadata = agent_config['model_metadata']
observation_list, network, _ = model_metadata.get_model_metadata_info()
sensor = construct_sensor(
agent_config[ConfigParams.CAR_CTRL_CONFIG.value][
ConfigParams.AGENT_NAME.value], observation_list, SensorFactory)
network_settings = get_network_settings(sensor, network)
ctrl_config = agent_config[ConfigParams.CAR_CTRL_CONFIG.value]
ctrl = TrainingCtrl(ctrl_config[ConfigParams.AGENT_NAME.value],
ctrl_config[ConfigParams.ACTION_SPACE_PATH.value])
return Agent(network_settings, sensor, ctrl)
def create_rollout_agent(agent_config, metrics):
'''Returns an rollout agent object
agent_config - Dictionary containing the key specified in ConfigParams
metrics - Metrics object for the agent
'''
model_metadata = agent_config['model_metadata']
observation_list, network, _ = utils_parse_model_metadata.parse_model_metadata(
model_metadata)
sensor = construct_sensor(observation_list, SensorFactory)
network_settings = get_network_settings(sensor, network)
frustum = Frustum.get_instance()
frustum.add_cameras(observation_list)
ctrl_config = agent_config['car_ctrl_cnfig']
ctrl = RolloutCtrl(ctrl_config)
return Agent(network_settings, sensor, ctrl, metrics)
def create_training_agent(agent_config):
'''Returns an training agent object
agent_config - Dictionary containing the key specified in ConfigParams
'''
model_metadata = agent_config['model_metadata']
model_metadata_info = model_metadata.get_model_metadata_info()
observation_list = model_metadata_info[ModelMetadataKeys.SENSOR.value]
network = model_metadata_info[ModelMetadataKeys.NEURAL_NETWORK.value]
sensor = construct_sensor(
agent_config[ConfigParams.CAR_CTRL_CONFIG.value][
ConfigParams.AGENT_NAME.value], observation_list, SensorFactory)
network_settings = get_network_settings(sensor, network)
ctrl_config = agent_config[ConfigParams.CAR_CTRL_CONFIG.value]
ctrl = TrainingCtrl(ctrl_config[ConfigParams.AGENT_NAME.value],
ctrl_config[ConfigParams.MODEL_METADATA.value])
return Agent(network_settings, sensor, ctrl)
def create_rollout_agent(agent_config, metrics, run_phase_subject):
'''Returns an rollout agent object
agent_config - Dictionary containing the key specified in ConfigParams
metrics - Metrics object for the agent
run_phase_subject - Subject that notifies observers when the run phase changes
'''
model_metadata = agent_config['model_metadata']
observation_list, network, version = model_metadata.get_model_metadata_info()
agent_name = agent_config[ConfigParams.CAR_CTRL_CONFIG.value][ConfigParams.AGENT_NAME.value]
sensor = construct_sensor(agent_name, observation_list, SensorFactory)
network_settings = get_network_settings(sensor, network)
FrustumManager.get_instance().add(agent_name=agent_name,
observation_list=observation_list,
version=version)
ctrl_config = agent_config[ConfigParams.CAR_CTRL_CONFIG.value]
ctrl = RolloutCtrl(ctrl_config, run_phase_subject, metrics)
return Agent(network_settings, sensor, ctrl)