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Re-enable reinforcement_q_learning tutorial #2067

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Merged
merged 4 commits into from
Oct 5, 2022
Merged

Re-enable reinforcement_q_learning tutorial #2067

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6f4345a
Re-enable reinforced_q_learnings tutorial
malfet Oct 5, 2022
ed5b87b
Update requirements.txt
malfet Oct 5, 2022
258befd
More updates
malfet Oct 5, 2022
a211250
Add block for installing gym with pygame
malfet Oct 5, 2022
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1 change: 0 additions & 1 deletion .jenkins/validate_tutorials_built.py
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Expand Up @@ -24,7 +24,6 @@
"examples_autograd/polynomial_custom_function",
"forward_ad_usage",
"parametrizations",
"reinforcement_q_learning",
"mnist_train_nas", # used by ax_multiobjective_nas_tutorial.py
"fx_conv_bn_fuser",
"super_resolution_with_onnxruntime",
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7 changes: 6 additions & 1 deletion intermediate_source/reinforcement_q_learning.py
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Expand Up @@ -46,7 +46,12 @@

First, let's import needed packages. Firstly, we need
`gym <https://github.com/openai/gym>`__ for the environment
(Install using `pip install gym`).

.. code-block:: bash

%%bash
pip3 install gym[classic_control]

We'll also use the following from PyTorch:

- neural networks (``torch.nn``)
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5 changes: 3 additions & 2 deletions requirements.txt
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Expand Up @@ -43,6 +43,7 @@ scikit-image
scipy
pillow==9.0.1
wget
gym==0.24.0
gym-super-mario-bros==7.3.0
gym==0.25.1
gym-super-mario-bros==7.4.0
timm
pygame==2.1.2