Created
June 23, 2016 14:21
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OpenAI test
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import gym | |
env = gym.make('CartPole-v0') | |
env.monitor.start('tmp/cartpole-experiment-1') | |
for i_episode in range(20): | |
observation = env.reset() | |
for t in range(100): | |
env.render() | |
print(observation) | |
action = env.action_space.sample() | |
observation, reward, done, info = env.step(action) | |
if done: | |
print("Episode finished after {} timesteps".format(t+1)) | |
break | |
env.monitor.close() |
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