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Expert Talk Details

In this talk, we introduce reinforcement learning (RL) as a specialized subdomain of machine learning and artificial intelligence. RL has recently garnered notoriety for achieving superhuman performance in chess, Go, and real-time strategy games. However, RL is also applicable to numerous other domains that have more business relevance.

Examples include customer journey optimization, item recommendation, predictive maintenance, manufacturing, finance, and retail. The talk provides a brief overview of several of these applications, and a detailed explanation of a retail use case. Namely, we describe a cashier scheduling system based on computer vision and RL, which is currently in operation at the SAS cafeteria.

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Expert Talk: Reinforcement Learning with Business Applications

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