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parameterLoopRun.py
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parameterLoopRun.py
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from QLearning import QLearningAgent
import utils
def main():
env = utils.setupEnv('MarLo-TrickyArena-v0')
# Get the number of available actions, minus waiting action
actionSize = env.action_space.n
epsilonDecay = 0.98
alphas = [0.8,0.5,0.1]
gammas = [1,0.5]
for alpha in alphas:
for gamma in gammas:
QTableName = "QTable_Alpha_" + str(alpha).replace(".", "_") + "_Gamma_" + str(gamma).replace(".","_") + "_Decay_" + str(epsilonDecay).replace(".", "_") + ".json"
CSVName = "Results_Alpha_" + str(alpha).replace(".", "_") + "_Gamma_" + str(gamma).replace(".", "_")+ "_Decay_" + str(epsilonDecay).replace(".", "_") + ".csv"
myAgent = QLearningAgent(actionSize,200, QTableName,CSVName, False, epsilonDecay , alpha, gamma)
# Start the running of the Agent
myAgent.runAgent(env)
return
if __name__ == "__main__":
main()