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Intro
This chapter examines the progression of reinforcement learning research, emphasizing the impact of meta-learning on algorithm creation. It discusses the equilibrium between human-led designs and the rise of meta-RL approaches, while acknowledging the critical contributions of smaller labs and individual researchers.