Completed
- Client Conversation 4
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Classroom Contents
Build a Mario AI Model with Python - Gaming Reinforcement Learning
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- 1 - Start
- 2 - Introduction
- 3 - Explainer
- 4 - Client Interview 1
- 5 - Animation 1
- 6 - Tutorial Start
- 7 - Setting Up Mario
- 8 - Running the Game
- 9 - Understanding the Mario State and Reward
- 10 - Client Interview 2
- 11 - Preprocessing the Environment
- 12 - Installing the RL Libraries
- 13 - Applying Grayscaling
- 14 - Applying Vectorization
- 15 - Applying Frame Stacking
- 16 - Client Conversation 3
- 17 - Animation 3
- 18 - Importing the PPO Algorithm
- 19 - Setting Up the Training Callback
- 20 - Creating a Mario PPO Model
- 21 - Training the Reinforcement Learning Model
- 22 - Client Conversation 4
- 23 - Animation 4
- 24 - Loading the PPO Model
- 25 - Using the AI Model
- 26 - Client Conversation 5
- 27 - Ending
