Reinforcement Learning · Level 1 of 5
Action
A choice available to an agent that can affect its environment.
Actions can be discrete or continuous.
Example
A robot chooses a steering angle.
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Audio transcript
Action. A choice available to an agent that can affect its environment. Actions can be discrete or continuous. For example: A robot chooses a steering angle.
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Why it matters
This helps you separate what an agent observes, chooses, and optimizes.
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