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Related lectures (24)
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Game Theory: Stackelberg and Backward Induction
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Discusses Stackelberg games and backward induction, illustrating game theory concepts through examples and applications in real-world scenarios.
Computer Vision: Fundamentals and Applications
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Covers the fundamentals of computer vision, illusions, challenges, applications, and history.
Reinforcement Learning: Basics and Applications
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Covers the basics of reinforcement learning, including Markov Decision Processes and policy gradient methods, and explores real-world applications and recent advances.
Reinforcement Learning for Pacman
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Covers the application of reinforcement learning to teach Pacman to play autonomously by trial and error.
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