game = '2h2o-v0'
gen = 1
data = np.load('./champions/' + game + '/' + game + '_' + str(gen) + '.npz')
cpus = 4
env = gym.make(game)
s0 = env.reset()
shape = s0.shape[0]
num_actions = env.action_space.shape[0]
a_bound = [env.action_space.low, env.action_space.high]
hidden_units = data['h']
champion = Policy(shape, hidden_units, num_actions, a_bound, game)
champion.W = data['w']
champion.B = data['b']
pool = Pool(processes=cpus)
champions = []
for k in range(5):
champions.append(champion)
scores = pool.map(evaluate_policy_single, champions)
scores = np.array(scores)
score = np.mean(score)
print('Champion Average Score = ' + str(score))
vis_policy(champion)
