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11 lines
376 B
Python
11 lines
376 B
Python
import gymnasium as gym
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env = gym.make("LunarLander-v2", render_mode="human")
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observation, info = env.reset(seed=42)
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for _ in range(1000):
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action = env.action_space.sample() # this is where you would insert your policy
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observation, reward, terminated, truncated, info = env.step(action)
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if terminated or truncated:
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observation, info = env.reset()
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env.close() |