Function test

examples/reinforcement-learning/train_test_utils.py:66–80

(env, player, n_turns, render=False)

def test(env, player, n_turns, render=False):
    input("Ready to test., Press any key to coninue...")
    for _ in range(n_turns):
        score = 0
        obs = env.reset()
        for _ in range(env._max_episode_steps):
            if render: env.render()
            action = player.act(obs)
            obs, reward, done, _ = env.step(action)
            if render: env.render()
            score += reward
            if done:
                print('The score is {}'.format(score))
                break
            if render: env.render()