Machine Learning
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Reinforcement Learning: Training AI Agents to Make Decisions
Reinforcement Learning enables AI agents to learn optimal decision-making through trial and error. This comprehensive guide explores classical RL algorithms like Q-Learning and SARSA, plus modern deep RL approaches including DQN, PPO, SAC, and TD3. Discover how RL powers breakthrough applications in game-playing (AlphaGo, OpenAI Five), robotics, autonomous vehicles, and resource management. Learn about key concepts like exploration vs exploitation, policy gradients, and the challenges of real-world deployment.
