def cost_blackjack(network):
AI = Player('AI', network=network)
stats = AI.getPlayerPerformance(10, False)
win_rate = stats[0]
ave_bank = stats[1]
ave_reward = stats[2]
cost = win_rate + ave_bank / 1000.0 + 1.1 * ave_reward
return cost
def trainGeneration(models, epoch, mutation_rate, print_info):
for i in range(epoch):
max_network = getMaxNetwork(models)
AI = Player('AI', network=max_network)
stats = AI.getPlayerPerformance(10, False)
win_rate = stats[0]
ave_bank = stats[1]
if print_info == True and i % 10 == 0:
print("Epoch: " + str(i) + " - Win rate: " +
str(round(win_rate * 100.0, 1)) +
"% - Ave. bank (5 plays): $" + str(round(ave_bank, 2)))
for i in range(len(models)):
models[i] = mutateNetwork(max_network,
mutation_rate * (0.60 - win_rate) / 0.60)
