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Graph Chatbot
Related lectures (16)
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Hand Pose Estimation
Covers hand pose estimation, regression techniques, and the evolution of image classification models from LeNet to VGG19.
Solving Connect Four: A-B Pruning and Monte-Carlo Tree Search
Explores applying game theory to optimize strategies in Connect Four using advanced algorithms.
Connect Four: α-β Pruning vs Monte-Carlo Tree Search
Explores strategies to solve Connect Four using α-β pruning and Monte-Carlo tree search.
Solving Connect Four: Game Theory Strategies
Explores game theory strategies to solve Connect Four efficiently using minimax, alpha-beta pruning, and Monte Carlo methods.
Model-Based Deep Reinforcement Learning: Monte Carlo Tree Search
Explores model-based deep reinforcement learning, focusing on Monte Carlo Tree Search and its applications in game strategies and decision-making processes.
Reinforcement Learning: Q-Learning
Introduces Q-Learning, Deep Q-Learning, REINFORCE algorithm, and Monte-Carlo Tree Search in reinforcement learning, culminating in AlphaGo Zero.
Solving Connect Four: A-B Pruning and Monte-Carlo Tree Search
Explores solving Connect Four using game theory algorithms and compares their efficiency.
Solving Connect Four: A-B Pruning and Monte-Carlo Tree Search
Explores solving Connect Four using game theory and algorithms optimization, comparing minimax, alpha-beta pruning, and Monte-Carlo tree search.
Connect Four: Game Theory Approach
Explores solving Connect Four using game theory algorithms to find optimal strategies efficiently.
Connect Four: Alpha-Beta Pruning and Monte-Carlo Tree Search
Explores solving Connect Four using game theory algorithms and compares their performance.
