Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir - #302
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Evolving Reward Functions in Logistics
This chapter explores the changes in reward functions in logistics as organizations become more technologically advanced. It highlights the importance of identifying inefficiencies in automated systems and suggests a penalty-based approach to align outcomes with acceptable standards, while also addressing the need for tailored solutions in diverse client environments.
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