22 lines
464 B
Python
22 lines
464 B
Python
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import gym
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import tensorflow as tf
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import numpy as np
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env=gym.make("CartPole-v0")
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env._max_episode_steps=500
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model=tf.keras.models.load_model("my_model")
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while True:
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observations=env.reset()
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score=0
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while True:
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env.render()
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valeurs_q=model(np.expand_dims(observations, axis=0))
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action=int(tf.argmax(valeurs_q[0], axis=-1))
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observations, reward, done, info=env.step(action)
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if done:
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print("SCORE", score)
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break
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score+=1
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