def GenerateRichDataFromTheta(rs, sizeOfTarget, foldername, thetaFile, repeat, save):
exp = Experiments(rs, sizeOfTarget, save, foldername,thetaFile,rs.popsizeCmaes,rs.period)
cost = exp.runRichTrajectories(repeat)
print("Average cost: ", cost)
print("foldername : ", foldername)
if (save):
exp.saveCost()
def GenerateDataFromTheta(rs, sizeOfTarget, foldername, thetaFile, repeat, save):
exp = Experiments(rs, sizeOfTarget, save, foldername,thetaFile,rs.popsizeCmaes,rs.period)
cost, time = exp.runTrajectoriesForResultsGeneration(repeat)
print("Average cost: ", cost)
print("Average time: ", time)
print("foldername : ", foldername)
if (save):
exp.saveCost()
def GenerateRichDataFromTheta(rs, sizeOfTarget, foldername, thetaFile, repeat,
save):
exp = Experiments(rs, sizeOfTarget, save, foldername, thetaFile,
rs.popsizeCmaes, rs.period)
cost = exp.runRichTrajectories(repeat)
print("Average cost: ", cost)
print("foldername : ", foldername)
if (save):
exp.saveCost()
def GenerateDataFromTheta(rs, sizeOfTarget, foldername, thetaFile, repeat,
save):
exp = Experiments(rs, sizeOfTarget, save, foldername, thetaFile,
rs.popsizeCmaes, rs.period)
cost, time = exp.runTrajectoriesForResultsGeneration(repeat)
print("Average cost: ", cost)
print("Average time: ", time)
print("foldername : ", foldername)
if (save):
exp.saveCost()
def GenerateRichDataFromTheta(rs, target_size, foldername, thetaFile, repeat, save):
'''
Generate Data from a given theta file
Input: -target_size, size of the target, float
-save: do we save the results (false when running CMAES)? True = Yes, False = No
'''
os.system("rm "+foldername+"Log/*.log")
exp = Experiments(rs, target_size, save, foldername,thetaFile,rs.popsizeCmaes,rs.period)
cost = exp.runRichTrajectories(repeat)
print("Average cost: ", cost)
print("foldername : ", foldername)
if (save):
exp.saveCost()
def GenerateDataFromThetaNController(rs, target_size, foldername, thetaFile, repeat, save,noise=None):
'''
Generate Data from a given theta file
Input: -target_size, size of the target, float
-save: do we save the results (false when running CMAES)? True = Yes, False = No
'''
os.system("rm "+foldername+"/Log/*.log 2>/dev/null")
exp = Experiments(rs, target_size, save, foldername,None,rs.popsizeCmaes,rs.period)
if(noise!=None): exp.setNoise(noise)
cost, time = exp.runTrajectoriesForResultsGenerationNController(repeat,thetaFile)
print("Average cost: ", cost)
print("Average time: ", time)
print("foldername : ", foldername)
if (save):
exp.saveCost()
def GenerateRichDataFromTheta(rs, target_size, foldername, thetaFile, repeat,
save):
'''
Generate Data from a given theta file
Input: -target_size, size of the target, float
-save: do we save the results (false when running CMAES)? True = Yes, False = No
'''
os.system("rm " + foldername + "Log/*.log")
exp = Experiments(rs, target_size, save, foldername, thetaFile,
rs.popsizeCmaes, rs.period)
cost = exp.runRichTrajectories(repeat)
print("Average cost: ", cost)
print("foldername : ", foldername)
if (save):
exp.saveCost()
def GenerateDataFromThetaNController(rs,
target_size,
foldername,
thetaFile,
repeat,
save,
noise=None):
'''
Generate Data from a given theta file
Input: -target_size, size of the target, float
-save: do we save the results (false when running CMAES)? True = Yes, False = No
'''
os.system("rm " + foldername + "/Log/*.log 2>/dev/null")
exp = Experiments(rs, target_size, save, foldername, None, rs.popsizeCmaes,
rs.period)
if (noise != None): exp.setNoise(noise)
cost, time = exp.runTrajectoriesForResultsGenerationNController(
repeat, thetaFile)
print("Average cost: ", cost)
print("Average time: ", time)
print("foldername : ", foldername)
if (save):
exp.saveCost()
