Traditionally, training an AI robot (like a self-driving car or a robotic arm) requires two difficult steps:
class AutoSim: def __init__(self, arrival_rate, service_rate, simulation_time): """ Initialize the AutoSim framework.
# Visualize events arrival_times = [event_time for event_time, event_type in events if event_type == "arrival"] service_times = [event_time for event_time, event_type in events if event_type == "service"]
while current_time < self.simulation_time: if not self.event_queue: current_time = self.generate_arrival(current_time) else: event_time, event_type = min(self.event_queue) self.event_queue.remove((event_time, event_type)) current_time = event_time events.append((event_time, event_type))
Parameters: - current_time (float): The current simulation time.
Returns: - arrival_time (float): The time of the arrival event. """ inter_arrival_time = expon.rvs(scale=1 / self.arrival_rate) arrival_time = current_time + inter_arrival_time self.event_queue.append((arrival_time, "arrival")) return arrival_time
return events