Reinforcement Learning and Deep RL Python Theory and Projects - Dry Run of Get State

Reinforcement Learning and Deep RL Python Theory and Projects - Dry Run of Get State

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Information Technology (IT), Architecture

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The video tutorial explains the function O, detailing its values and how to calculate the state value. It explores state #18,000 in the Q table and demonstrates mapping states with a one-to-one correspondence. The tutorial encourages viewers to dry run examples to understand the mapping better, preparing them for the next coding session.

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What new insight or understanding did you gain from this video?

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