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| # initialize the environment | |
| env.reset() | |
| terminated = False | |
| while not terminated: | |
| # choose a random action | |
| action = env.action_space.sample() | |
| # take the action and get the information from the environment | |
| new_state, reward, terminated, truncated, info = env.step(action) | |
| # show the current position and reward | |
| env.render(action=action, reward=reward) |
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