GitHub - heechulbae/simulation: Discrete Event Simulation using Simpy to run model based and model free deep reinforcement learning dispatch policies in a stochastic queueing system of a manufacturing unit

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Discrete Event Simulation using Simpy to run model based and model free deep reinforcement learning dispatch policies in a stochastic queueing system of a manufacturing unit

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
simulator		simulator
.DS_Store		.DS_Store
Algorithms for Reinforcement Learning.pdf		Algorithms for Reinforcement Learning.pdf
PdM-Deep Reinforcement Learning.pdf		PdM-Deep Reinforcement Learning.pdf
Q_learning_factory.py		Q_learning_factory.py
Reinforcement Learning.pdf		Reinforcement Learning.pdf
SSRN-id2559116.pdf		SSRN-id2559116.pdf
SimPy Documentation.pdf		SimPy Documentation.pdf
carsim.py		carsim.py
macshop.py		macshop.py
math4ml.pdf		math4ml.pdf
policy_network.h5		policy_network.h5
q_learning_nn_model.py		q_learning_nn_model.py
qnetwork.py		qnetwork.py
sim.py		sim.py
testing_q.py		testing_q.py
v1.py		v1.py
v1_rep.py		v1_rep.py
v2.py		v2.py
v3.py		v3.py
v3_rep_seq.py		v3_rep_seq.py
v3_seq.py		v3_seq.py
v3f.py		v3f.py

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Discrete Event Simulation using Simpy to run model based and model free deep reinforcement learning dispatch policies in a stochastic queueing system of a manufacturing unit