From on-line to batch learning

Reinforcement Learning is increasingly becoming a valuable alternative to tackle many of the challenges existing in a semi-structured, non-deterministic and adversarial environment such as robotic soccer. Batch Reinforcement Learning is a class of ...

This paper focuses on a systematic treatment for developing a generic on-line learning control system based on the fundamental principle of reinforcement learning or more specifically neuro-dynamic programming. This real time learning system improves ...

• An hybrid approach for the batch assignment problem is proposed.
• A machine learning model is used to predict the picking time of future orders.
• A genetic algorithm is adopted to optimize learning and fatigue of pickers.
• The ...

Modeling human behaviors has become increasingly relevant to improving the performance of manual order-picking systems. However, although a vast corpus of literature has recently started to consider the human factors in these systems, several ...