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Скачать или смотреть The Power of Q-Learning in AI: How Q-Learning Works – Understanding the Bellman Equation

  • Super Data Science
  • 2025-03-03
  • 298
The Power of Q-Learning in AI: How Q-Learning Works – Understanding the Bellman Equation
reinforcement learningartificial intelligencemachine learningQ-LearningAI decision makingBellman equationAI algorithmsMarkov decision processQ-valuesdeep learningAI optimizationreward functiondiscount factoraction-based learningAI modelsreinforcement learning explainedAI tutorialvalue learningAI predictionmachine learning tutorialAI trainingQ-learning algorithmneural networksprobability in AIAI learning models
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Описание к видео The Power of Q-Learning in AI: How Q-Learning Works – Understanding the Bellman Equation

Full Course HERE 👉: https://sds.courses/ai-az In today's AI tutorial, we dive into Q-Learning, a key concept in Reinforcement Learning. We'll explore how Q-values differ from state values, how the Bellman equation fits in, and why AI prefers Q-values over V-values. If you've ever wondered how artificial intelligence makes decisions, this is the video for you!

Course Link HERE: https://sds.courses/ai-az

You can also find us here:
Website: https://www.superdatascience.com/
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Twitter:   / superdatasci  
LinkedIn:   / superdatascience  

Contact us at: [email protected]

📌 Chapter Markers:
00:00 - Introduction to Q-Learning
00:34 - Understanding the Bellman Equation
01:11 - Why is it Called Q-Learning?
01:42 - From State Values to Action Values
02:12 - What Does Q Represent?
02:44 - The Link Between Q and Value Functions
03:15 - How Actions Influence Q-Values
03:50 - Deriving the Q-Learning Formula
04:19 - Connecting Q and the Bellman Equation
04:49 - Breaking Down the Q-Value Calculation
05:21 - Expected Value and Probabilities in Q-Learning
05:53 - Why Q-Learning Works in AI
06:23 - Understanding the Reward and Discount Factor
06:57 - How Agents Use Q-Values to Decide Actions
07:26 - The Recursive Nature of Q-Learning
08:02 - Why Q-Learning is an Improvement
08:38 - Comparing Q-Learning and Value Learning
09:14 - Eliminating V and Using Only Q-Values
09:46 - The Final Q-Learning Formula
10:23 - How AI Uses Q-Learning to Optimize Decisions
10:55 - Visualizing Q-Learning in a Markov Decision Process
12:04 - How Q-Learning Helps AI Beat the Environment
12:33 - Why Agents Prefer Q-Values Over State Values
13:01 - The Power of Q-Learning in Reinforcement Learning
13:36 - Recommended Reading for Advanced Understanding
14:13 - Summary and Final Thoughts on Q-Learning
14:44 - Where to Learn More About AI and Q-Learning

📢 Want to dive deeper?

Check out the Markov Decision Processes: Concepts and Algorithms (2009) paper by Martijn Van Otterlo!
Link: https://pdfs.semanticscholar.org/968b...
e9078454afe.pdf

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📌 Hashtags: #ArtificialIntelligence #MachineLearning #ReinforcementLearning #QLearning #AITraining #DeepLearning #MarkovDecisionProcesses #AIAlgorithms #QValues #BellmanEquation #DataScience #AIExplained #TechEducation #AIModels #AIOptimization

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