#need to set Beta[accel] to 1
#algo.updateBeta([0,1,0,0])
#algo.updateBetaFinal([0,1,0,0])
var = [2]
algo.reset_ygradient()
for point in algo.build_gradient(vars = var):
algo.updateBeta(point)
perf = gameStrat(strat = 6, totalgames=3,Algo=algo, \
renderme = False)
y = evalGames(perf)
algo.update_ygradient(y)
#update algo
updateB = algo.eval()
algo.updateBetaFinal(updateB)
#Exit Training Conditions
if y > 500:
break
#Print summary of loop outcome
print str(algo.BetaFinal)
else:
var = [0,1,2,3]
ep = [0.2,0.1,.005,0.01]
algo.reset_ygradient()
algo.reset_ymisc()
for point in algo.build_gradient(vars = var, eps = ep):
algo.updateBeta(point)
ret = gameStrat(strat = 6, totalgames=50,Algo=algo, \
renderme = True, env = env)
algo.update_ygradient(ret['perf'])
algo.update_ymisc(ret['loss'])
#update algo
updateB = algo.eval(l = 0.5, logbestrun=True, logbestrunloss=True)
algo.updateBetaFinal(updateB)
logit(logMt = (ind, algo))
#Exit Training Conditions
ind += 1
if algo._perf > 5000:
break
#Print summary of loop outcome
while True:
var = [0, 1, 2, 3]
ep = [0.2, 0.1, .005, 0.01]
algo.reset_ygradient()
algo.reset_ymisc()
for point in algo.build_gradient(vars=var, eps=ep):
algo.updateBeta(point)
ret = gameStrat(strat = 6, totalgames=50,Algo=algo, \
renderme = True, env = env)
algo.update_ygradient(ret['perf'])
algo.update_ymisc(ret['loss'])
#update algo
updateB = algo.eval(l=0.5, logbestrun=True, logbestrunloss=True)
algo.updateBetaFinal(updateB)
logit(logMt=(ind, algo))
#Exit Training Conditions
ind += 1
if algo._perf > 5000:
break
#Print summary of loop outcome
print str(algo.BetaFinal)
#need to set Beta[accel] to 1
#algo.updateBeta([0,1,0,0])
#algo.updateBetaFinal([0,1,0,0])
var = [2]
algo.reset_ygradient()
for point in algo.build_gradient(vars=var):
algo.updateBeta(point)
perf = gameStrat(strat = 6, totalgames=3,Algo=algo, \
renderme = False)
y = evalGames(perf)
algo.update_ygradient(y)
#update algo
updateB = algo.eval()
algo.updateBetaFinal(updateB)
#Exit Training Conditions
if y > 500:
break
#Print summary of loop outcome
print str(algo.BetaFinal)
else:
for s in [1, 2, 3, 4]:
perf = gameStrat(strat=s, totalgames=5)
