agent.py 文件源码

def run():
    """Run the agent for a finite number of trials."""

    # Set up environment and agent
    e = Environment()  # create environment (also adds some dummy traffic)
    a = e.create_agent(LearningAgent)  # create agent
    e.set_primary_agent(a, enforce_deadline=True)  # specify agent to track
    # NOTE: You can set enforce_deadline=False while debugging to allow longer trials

    # Now simulate it
    sim = Simulator(e, update_delay=0.005, display=False)  # create simulator (uses pygame when display=True, if available)
    # NOTE: To speed up simulation, reduce update_delay and/or set display=False

    sim.run(n_trials=100)  # run for a specified number of trials
    # NOTE: To quit midway, press Esc or close pygame window, or hit Ctrl+C on the command-line