Reinforcement learning (RL) is actively utilized by major tech companies to enhance everyday technologies, such as improving battery life on Android devices and optimizing YouTube video recommendations. These applications demonstrate that RL can effectively leverage data infrastructure to deliver intelligent software solutions. However, the adoption of RL outside of large tech firms is limited, likely due to a combination of insufficient data infrastructure and the specific requirements needed for RL to be practical in diverse settings. This indicates that while RL holds significant potential, its real-world applications remain concentrated among organizations capable of supporting the necessary technological foundation.

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