More states torch nn #16
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…and changes on the current state of the system/jobs/machines
we created a lot more features for the implementation of the rl model, like the class node, the algorithms needed for the extraction of the metrics for the action of the low level rl models, changes on how each task instance handles the running times/ response_times etc so that it is accurate
added the node class and also changed the structure of the pause event to implement raises and drops on the values of the ongoing jobs and not adding new ones
last changes on rl actions and node funcs i also started the implementation of the rl model code
still there is a problem with waiting instances when they are recreated after interruption
many changes on the overall func of the model more specifically changed the way that the alg checks for new workloads that can be scheduled to machines all the time
addes aome metrics like response times for service and barch jobs for finished insrtances
still trying to make the model train correctly with the updated weights in the reward func
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