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サマリー
あらすじ・解説
Explain the basics of reinforcement learning (RL), describing how it differs from other forms of machine learning by using rewards and penalties to train models. Dive into its applications in robotics, where RL has enabled breakthroughs in robotic arms, autonomous drones, and even self-driving cars. Share examples of RL applications in real-world environments, from industrial automation to disaster response robots. Explore the challenges of deploying RL in complex, dynamic settings and discuss future research directions aimed at making RL more sample-efficient and robust.