Question-and-Answer Resource for the Building Energy Modeling Community
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Thank you for your answers. I was basically executing the function EnergyPlusAPI.runtime.run_energyplus() sequentially in a for loop. This caused the python process to accumulate the handles of each energyplus run.
I took a look into the multiprocessing API of python and implemented each run as a process which solved the issue. Thanks!
A pseudocode for what I did could be like this:
queue = Queue() #Global queue object for the threads(Process)
for ep in range(a2c_agent.EPISODES):
#--- Process handler ###
proc = Process(target=Energyplus_manager,args=(queue,))
proc.start()
while(proc.exitcode == None): #As long as the thread is not closed
a2c_agent.remember(queue) #Retrieve info from the thread for the RL agent, timeout if no more data is being loaded
proc.join()
average = a2c_agent.evaluate_model(episode_rewards[-1], (ep+1)) # evaluate the model
a2c_agent.replay() # train the network
