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Reinforcement Learning: Bellman Optimality Equation and the Q-function

In this video, I explain the Bellman Optimality Equation and the Q-function, two core concepts in reinforcement learning.
We’ll start by asking an important question: What happens when acting greedily no longer improves a policy? This leads us to the idea of optimal policies and the value function that satisfies the Bellman Optimality Equation.
The video includes:
A clear explanation of the Q-function
How the Bellman Optimality Equation is used in learning
A simple, step-by-step numerical example of computing a Q-value
How to extract a policy from Q-value

Видео Reinforcement Learning: Bellman Optimality Equation and the Q-function канала Machine Learning with PyTorch
#Reinforment Learning #Machine Learning Decision Learning Problem Markov Decision Process Dynamic Programming Reinforcement Learning #Markov Reward Proces #Value Function # Markov Decicion Process #optimal value function #Bellman optimality equation
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10 июня 2025 г. 4:30:44
00:13:24
Machine Learning with PyTorch
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