def run_phenome(self,phenome):
results=[0,0]
for x in range(5):
phenome.clear_network()
netplayer=ANNPlayer(phenome)
opponent= pongrunner.BasicAIPlayer()
temp=pongrunner.run(netplayer,opponent,False,x)
results[0]+=temp[0]
results[1]+=temp[1]
score=results[0]-results[1]
return max(0.01,score+50)
def run_phenome(self, phenome):
results = [0, 0]
for x in range(5):
phenome.clear_network()
netplayer = ANNPlayer(phenome)
opponent = pongrunner.BasicAIPlayer()
temp = pongrunner.run(netplayer, opponent, False, x)
results[0] += temp[0]
results[1] += temp[1]
score = results[0] - results[1]
return max(0.01, score + 50)
results[0]+=temp[0]
results[1]+=temp[1]
score=results[0]-results[1]
return max(0.01,score+50)
evolve=False
if(len(sys.argv)>1 and sys.argv[1]=='evolve'):
evolve=True
pop = abstract.SpeciatedPopulation(200,NEATGenome,PongDomain,NEATPhenome)
domain = PongDomain()
champ=None
if(evolve):
NEATGenome.num_inputs=3
NEATGenome.num_outputs=1
pop.run(100)
champ=pop.pop[-1]
champ.save("pop_champ")
else:
champ=NEATGenome.load("pop_champ")
champ_phenome=NEATPhenome(champ)
player=ANNPlayer(champ_phenome)
print domain.run_phenome(champ_phenome)
print pongrunner.run(player,pongrunner.BasicAIPlayer(),False,1)
pongrunner.run(player,pongrunner.BasicAIPlayer(),True,1)
results[0] += temp[0]
results[1] += temp[1]
score = results[0] - results[1]
return max(0.01, score + 50)
evolve = False
if (len(sys.argv) > 1 and sys.argv[1] == 'evolve'):
evolve = True
pop = abstract.SpeciatedPopulation(200, NEATGenome, PongDomain, NEATPhenome)
domain = PongDomain()
champ = None
if (evolve):
NEATGenome.num_inputs = 3
NEATGenome.num_outputs = 1
pop.run(100)
champ = pop.pop[-1]
champ.save("pop_champ")
else:
champ = NEATGenome.load("pop_champ")
champ_phenome = NEATPhenome(champ)
player = ANNPlayer(champ_phenome)
print domain.run_phenome(champ_phenome)
print pongrunner.run(player, pongrunner.BasicAIPlayer(), False, 1)
pongrunner.run(player, pongrunner.BasicAIPlayer(), True, 1)