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:
Links:
Super Mario RL:
Nes Py:
OpenAI Gym:
PyTorch:
PPO Algorithm:
Intro to RL Loss:
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 Vectorizati
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