Here is a list of all class members with links to the classes they belong to:

- _ -

• __init__() : circle.Circle , drive_policy_gradient.PolicyGradientDrivingNode , drive_q_learning.QLearningDrivingNode , neural_car_driver.NeuralCarDriver , parameters_policy_gradient.Policy , parameters_q_learning.NeuralQEstimator , reinforcement_learning_node.ReinforcementLearningNode , simulation_tools.lap_timer.Area , simulation_tools.lap_timer.Timer , simulation_tools.track.Track , simulation_tools.track.TrackPosition , train.TrainingNode , train_policy_gradient.PolicyGradientTrainingNode , train_q_learning.QLearningTrainingNode , training_node.TrainingNode , wallfollowing.Parameters , wallfollowing.PIDController
• __str__() : simulation_tools.track.TrackPosition , wallfollowing.Parameters

- a -

• action : training_node.TrainingNode
• actions : reinforcement_learning_node.ReinforcementLearningNode
• angle : simulation_tools.track.TrackPosition
• anti_windup : wallfollowing.PIDController

- c -

• car_orientation : training_node.TrainingNode
• car_position : training_node.TrainingNode
• CarController() : CarController
• center : circle.Circle , simulation_tools.lap_timer.Area
• ChaseCam() : ChaseCam
• check_car_orientation() : training_node.TrainingNode
• checkpoints : simulation_tools.lap_timer.Timer
• complete_lap() : simulation_tools.lap_timer.Timer
• contains() : simulation_tools.lap_timer.Area
• convert_laser_message_to_tensor() : reinforcement_learning_node.ReinforcementLearningNode
• CrashDetector() : CrashDetector
• create_array() : circle.Circle
• cumulative_distance : simulation_tools.track.Track
• cumulative_reward : training_node.TrainingNode
• cumulative_reward_history : training_node.TrainingNode
• current_driver : train.TrainingNode
• current_episode_rewards : train_policy_gradient.PolicyGradientTrainingNode

- d -

• d : wallfollowing.PIDController
• distance_to_center : simulation_tools.track.TrackPosition
• DMSController() : DMSController
• draw() : Wall
• drawLine() : RvizGeometryPublisher
• drive() : neural_car_driver.NeuralCarDriver
• drive_forward : training_node.TrainingNode
• drive_parameters_publisher : reinforcement_learning_node.ReinforcementLearningNode
• DriveParametersMultiplexer() : DriveParametersMultiplexer
• DriveParametersSource() : DriveParametersSource

- e -

• EmergencyStop() : EmergencyStop
• episode_count : training_node.TrainingNode
• episode_length : train.TrainingNode , training_node.TrainingNode
• episode_length_history : training_node.TrainingNode
• episode_result_publisher : training_node.TrainingNode
• episode_start_time_real : training_node.TrainingNode
• episode_start_time_sim : training_node.TrainingNode
• extents : simulation_tools.lap_timer.Area

- f -

• faces_forward() : simulation_tools.track.TrackPosition
• fc1 : parameters_q_learning.NeuralQEstimator
• fc2 : parameters_q_learning.NeuralQEstimator
• fc3 : parameters_q_learning.NeuralQEstimator
• fit() : circle.Circle
• fitness : neural_car_driver.NeuralCarDriver
• forward() : parameters_policy_gradient.Policy , parameters_q_learning.NeuralQEstimator , simulation_tools.track.Track

- g -

• generation : train.TrainingNode
• get_angle() : circle.Circle
• get_closest_point() : circle.Circle
• get_episode_summary() : train_q_learning.QLearningTrainingNode , training_node.TrainingNode
• get_epsilon_greedy_threshold() : train_q_learning.QLearningTrainingNode
• get_fitness() : train.TrainingNode
• get_position() : simulation_tools.track.Track
• get_relative_angle() : simulation_tools.track.TrackPosition
• get_reward() : train_policy_gradient.PolicyGradientTrainingNode , train_q_learning.QLearningTrainingNode
• getAngle() : Wall
• getDriveMode() : DriveParametersSource

- h -

• history : simulation_tools.lap_timer.Timer

- i -

• i : wallfollowing.PIDController
• integral : wallfollowing.PIDController
• is_terminal_step : train.TrainingNode , training_node.TrainingNode
• isIdle() : DriveParametersSource
• isOutdated() : DriveParametersSource

- j -

• JoystickController() : JoystickController

- k -

• KeyboardController() : KeyboardController

- l -

• lap_time_publisher : simulation_tools.lap_timer.Timer
• laser_sample_count : reinforcement_learning_node.ReinforcementLearningNode
• LaserscanTransformer() : LaserscanTransformer
• layers : neural_car_driver.NeuralCarDriver , parameters_policy_gradient.Policy
• length : simulation_tools.track.Track
• load() : neural_car_driver.NeuralCarDriver , parameters_policy_gradient.Policy , parameters_q_learning.NeuralQEstimator
• load_vector() : neural_car_driver.NeuralCarDriver
• localize() : simulation_tools.track.Track

- m -

• m_angle1 : Wall
• m_angle2 : Wall
• m_range1 : Wall
• m_range2 : Wall
• max_episode_length : training_node.TrainingNode
• memory : train_q_learning.QLearningTrainingNode
• motorBrakeCallback() : VESCSimulationDriver
• motorSpeedCallback() : VESCSimulationDriver
• mutate() : neural_car_driver.NeuralCarDriver

- n -

• name : simulation_tools.lap_timer.Timer
• names : wallfollowing.Parameters
• NavigationStackControlConverter() : NavigationStackControlConverter
• net_output_debug_string : train_q_learning.QLearningTrainingNode , training_node.TrainingNode
• next_checkpoint : simulation_tools.lap_timer.Timer

- o -

• on_complete_episode() : train_policy_gradient.PolicyGradientTrainingNode , training_node.TrainingNode
• on_complete_generation() : train.TrainingNode
• on_complete_step() : train_policy_gradient.PolicyGradientTrainingNode , train_q_learning.QLearningTrainingNode , training_node.TrainingNode
• on_complete_test() : train.TrainingNode
• on_crash() : train.TrainingNode , training_node.TrainingNode
• on_model_state_callback() : training_node.TrainingNode
• on_receive_laser_scan() : drive_policy_gradient.PolicyGradientDrivingNode , drive_q_learning.QLearningDrivingNode , reinforcement_learning_node.ReinforcementLearningNode , train.TrainingNode , training_node.TrainingNode
• optimization_step_count : train_q_learning.QLearningTrainingNode
• optimizer : training_node.TrainingNode

- p -

• p : wallfollowing.PIDController
• perform_action() : reinforcement_learning_node.ReinforcementLearningNode
• PIDController() : PIDController
• point : simulation_tools.track.TrackPosition
• points : simulation_tools.track.Track
• policy : drive_policy_gradient.PolicyGradientDrivingNode , drive_q_learning.QLearningDrivingNode , training_node.TrainingNode
• policy_history : train_policy_gradient.PolicyGradientTrainingNode
• population : train.TrainingNode
• predictDistance() : Wall
• previous_error : wallfollowing.PIDController

- r -

• radius : circle.Circle
• replay() : train_q_learning.QLearningTrainingNode
• right : simulation_tools.track.Track
• RvizGeometryPublisher() : RvizGeometryPublisher

- s -

• save() : neural_car_driver.NeuralCarDriver , parameters_policy_gradient.Policy , parameters_q_learning.NeuralQEstimator
• scan_indices : neural_car_driver.NeuralCarDriver , reinforcement_learning_node.ReinforcementLearningNode , train.TrainingNode
• segment : simulation_tools.track.TrackPosition
• segment_distance : simulation_tools.track.TrackPosition
• segment_length : simulation_tools.track.Track
• segment_progress : simulation_tools.track.TrackPosition
• select_action() : train_policy_gradient.PolicyGradientTrainingNode , train_q_learning.QLearningTrainingNode
• servoPositionCallback() : VESCSimulationDriver
• setServoAngle() : VESCSimulator
• setSpeed() : VESCSimulator
• size : simulation_tools.track.Track
• spin() : DMSController
• start : simulation_tools.lap_timer.Timer , VESCSimulator
• state : training_node.TrainingNode
• steps_with_wrong_orientation : training_node.TrainingNode
• stop() : VESCSimulator

- t -

• test : train.TrainingNode
• to_vector() : neural_car_driver.NeuralCarDriver
• total_distance : simulation_tools.track.TrackPosition
• total_progress : simulation_tools.track.TrackPosition
• total_step_count : training_node.TrainingNode
• total_velocity : neural_car_driver.NeuralCarDriver

- u -

• untested_population : train.TrainingNode
• update() : simulation_tools.lap_timer.Timer
• update_and_get_correction() : wallfollowing.PIDController
• update_policy() : train_policy_gradient.PolicyGradientTrainingNode
• updateAndGetCorrection() : PIDController

- v -

• VESCSimulationDriver() : VESCSimulationDriver
• VESCSimulator() : VESCSimulator

- w -

• Wall() : Wall
• WallFollowing() : WallFollowing

- ~ -

• ~KeyboardController() : KeyboardController