我想知道CartPole-v0
OpenAI Gym(https://gym.openai.com/)中的观察规范。
例如,在以下代码中输出observation
。一项观察就像[-0.061586 -0.75893141 0.05793238 1.15547541]
我想知道这些数字的含义。我想以任何方式了解其他的规范,Environments
例如MountainCar-v0
,MsPacman-v0
等等。
我试图阅读https://github.com/openai/gym,但我不知道。你能告诉我知道规格的方法吗?
import gym
env = gym.make('CartPole-v0')
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
(来自https://gym.openai.com/docs)
输出如下
[-0.061586 -0.75893141 0.05793238 1.15547541]
[-0.07676463 -0.95475889 0.08104189 1.46574644]
[-0.0958598 -1.15077434 0.11035682 1.78260485]
[-0.11887529 -0.95705275 0.14600892 1.5261692 ]
[-0.13801635 -0.7639636 0.1765323 1.28239155]
[-0.15329562 -0.57147373 0.20218013 1.04977545]
Episode finished after 14 timesteps
[-0.02786724 0.00361763 -0.03938967 -0.01611184]
[-0.02779488 -0.19091794 -0.03971191 0.26388759]
[-0.03161324 0.00474768 -0.03443415 -0.04105167]