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Evolving Machine Learning in Robotics
This chapter explores the transition from traditional reinforcement learning to advanced methods in robotics, emphasizing the role of graph neural networks. It discusses the importance of balancing simulation techniques with real-world applications to enhance robot performance and motion control.