More updates

Author: malfet

intermediate_source/reinforcement_q_learning.py

@@ -6,7 +6,7 @@
 
 
 This tutorial shows how to use PyTorch to train a Deep Q Learning (DQN) agent
-on the CartPole-v0 task from the `OpenAI Gym <https://www.gymlibrary.dev/>`__.
+on the CartPole-v1 task from the `OpenAI Gym <https://www.gymlibrary.dev/>`__.
 
 **Task**
 
@@ -74,7 +74,7 @@
 import torchvision.transforms as T
 
 
-env = gym.make('CartPole-v0', new_step_api=True, render_mode='single_rgb_array').unwrapped
+env = gym.make('CartPole-v1', new_step_api=True, render_mode='single_rgb_array').unwrapped
 
 # set up matplotlib
 is_ipython = 'inline' in matplotlib.get_backend()

requirements.txt

@@ -43,7 +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