Machine Learning
Environment Engineering: The Foundation of RL Systems
In this course, we introduce the basic Reinforcement Learning (RL) framework and explore how to build a simple environment from scratch. We discuss states, actions, and rewards, then outline how an environment class should be structured and implement it.
Numpy
Python
4 lessons
19 practices
1 hour
Coding and Data Algorithms
Course details
Grid World State Exploration
Expanding the Grid World Adventure
State Transitions in Grid World
Debugging Agent Movement in Grid
Reward Function Exploration in Grid World
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