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Antonin RAFFIN 2020-05-07 16:15:32 +02:00
parent 8046a24719
commit c5f29a3931
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docs/guide/examples.rst
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@ -37,7 +37,7 @@ Basic Usage: Training, Saving, Loading
-------------------------------------- --------------------------------------
In the following example, we will train, save and load a DQN model on the Lunar Lander environment. In the following example, we will train, save and load a DQN model on the Lunar Lander environment.
..
.. .. image:: ../_static/img/try_it.png .. .. image:: ../_static/img/try_it.png
.. :scale: 30 % .. :scale: 30 %
.. :target: https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/master/saving_loading_dqn.ipynb .. :target: https://colab.research.google.com/github/Stable-Baselines-Team/rl-colab-notebooks/blob/master/saving_loading_dqn.ipynb
@ -324,7 +324,7 @@ will compute a running average and standard deviation of input features (it can
env = VecNormalize(env, norm_obs=True, norm_reward=True, env = VecNormalize(env, norm_obs=True, norm_reward=True,
clip_obs=10.) clip_obs=10.)
model = PPO2('MlpPolicy', env) model = PPO('MlpPolicy', env)
model.learn(total_timesteps=2000) model.learn(total_timesteps=2000)
# Don't forget to save the VecNormalize statistics when saving the agent # Don't forget to save the VecNormalize statistics when saving the agent