Re-enable reinforcement_q_learning tutorial (#2067)

By adding pygame to the requirements and bumping gym to 0.25.0 (to account for changes introduced by #2026 )

Add cell for installing `gym` on Colab

Author: malfet

.jenkins/validate_tutorials_built.py

@@ -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",

intermediate_source/reinforcement_q_learning.py

@@ -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``)

requirements.txt

@@ -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