agent.py 文件源码

def run():
    """ Driving function for running the simulation. 
        Press ESC to close the simulation, or [SPACE] to pause the simulation. """

    ##############
    # Create the environment
    # Flags:
    #   verbose     - set to True to display additional output from the simulation
    #   num_dummies - discrete number of dummy agents in the environment, default is 100
    #   grid_size   - discrete number of intersections (columns, rows), default is (8, 6)
    env = Environment()

    ##############
    # Create the driving agent
    # Flags:
    #   learning   - set to True to force the driving agent to use Q-learning
    #    * epsilon - continuous value for the exploration factor, default is 1
    #    * alpha   - continuous value for the learning rate, default is 0.5
    agent = env.create_agent(LearningAgent)

    ##############
    # Follow the driving agent
    # Flags:
    #   enforce_deadline - set to True to enforce a deadline metric
    env.set_primary_agent(agent)

    ##############
    # Create the simulation
    # Flags:
    #   update_delay - continuous time (in seconds) between actions, default is 2.0 seconds
    #   display      - set to False to disable the GUI if PyGame is enabled
    #   log_metrics  - set to True to log trial and simulation results to /logs
    #   optimized    - set to True to change the default log file name
    sim = Simulator(env)

    ##############
    # Run the simulator
    # Flags:
    #   tolerance  - epsilon tolerance before beginning testing, default is 0.05 
    #   n_test     - discrete number of testing trials to perform, default is 0
    sim.run()