Machine Learning - Reinforcement Learning - Learn To Perform The Most Optimal Action Based On Feedback

Giriş
Bazı notlarım şöyle. İlk bölüm için Machine Learning yazına bakabilirsiniz.

Reinforcement Learning Nedir

Açıklaması şöyle

Reinforcement Learning algorithms are complex and advanced where the model learns from its previous predictions and correctness.

Bir başka açıklama şöyle. Yani bildiğimiz bir çoçuğa öğretir gibi öğretmek gerekiyor.

Given the environment, the machine learns to perform the most optimal action based on feedback it gets by performing an action in a simulation or training environment. Some of the key aspects of reinforcement learning include environment, current state, action, future state, reward, etc.