#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)