Reinforcement learning approach to product allocation and storage

Reinforcement learning approach to product allocation and storage

In this thesis I investigated a reinforcement learning (RL) approach to address effective space utilization for warehouse management. RL in the domain of machine intelligence, it is an approach that learns to achieve a given goal by trial and error iterations with its environment. In this research I...

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Online Access:	http://hdl.handle.net/2047/d20003370

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