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Evolving Perspectives on Optimality in Robotics
This chapter explores the shifting views on optimality in robotics and reinforcement learning, emphasizing a methodological crisis characterized by an overreliance on empirical approaches. It discusses the challenges of ensuring quality in algorithmic solutions and the need for formal methods to tackle complex problems.