Build an Mario AI Model with Python | Gaming Reinforcement Learning

Teach AI to play Super Mario

In this video you'll learn how to:
Setup a Mario Environment
Preprocess Mario for Applied Reinforcement Learning
Build a Reinforcement Learning model to play Mario
Take a look at the final results

Get the code: https://github.com/nicknochnack/MarioRL

Links:
Super Mario RL: https://pypi.org/project/gym-super-ma...
Nes Py: https://pypi.org/project/nes-py/
OpenAI Gym: https://gym.openai.com/
PyTorch: https://pytorch.org/get-started/locally/
PPO Algorithm: https://stable-baselines3.readthedocs...
Intro to RL Loss: https://spinningup.openai.com/en/late...

0:00 - Start
0:18 - Introduction
0:44 - Explainer
1:58 - Client Interview 1
2:02 - Animation 1
2:30 - Tutorial Start
3:22 - Setting Up Mario
10:44 - Running the Game
18:26 - Understanding the Mario State and Reward
20:44 - Client Interview 2
21:38 - Preprocessing the Environment
26:22 - Installing the RL Libraries
31:11 - Applying Grayscaling
35:32 - Applying Vectorization
36:56 - Applying Frame Stacking
42:46 - Client Conversation 3
43:05 - Animation 3
44:00 - Importing the PPO Algorithm
47:33 - Setting Up the Training Callback
50:13 - Creating a Mario PPO Model
55:30 - Training the Reinforcement Learning Model
1:02:40 - Client Conversation 4
1:02:56 - Animation 4
1:04:01 - Loading the PPO Model
1:06:10 - Using the AI Model
1:15:56 - Client Conversation 5
1:16:37 - Ending

Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!
#ai #python