Should we start data science educational posts series? Posting new data science lesson every week?
Anonymous Poll
96%
yes
4%
no
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This diagram explains how Reinforcement Learning (RL) works in Machine Learning.
It starts with raw input data.
An agent interacts with an environment by selecting actions.
The environment gives feedback in the form of rewards and new states.
The agent learns which actions give the best rewards and improves over time.
The result is an optimized output, based on trial, error, and learning from feedback.
It starts with raw input data.
An agent interacts with an environment by selecting actions.
The environment gives feedback in the form of rewards and new states.
The agent learns which actions give the best rewards and improves over time.
The result is an optimized output, based on trial, error, and learning from feedback.
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