induced by the retailer's learning policy, we first make a connection to non-stationary online learning by following the … notion of variation budget. The variation budget quantifies the impact of the retailer's learning strategy on the supplier … critically, does not require the supplier to have any prior knowledge about the retailer's learning policy or the demand …

Purpose: This study describes the trends and applications of machine learning systems in the management of water supply … networks. Machine learning is a field in constant development, and it has a great potential and capability to attain … created a range of possibilities to apply machine learning. One particular case is the prediction of pipe failures based on …

the interpretability of Q-learning agents. By integrating EV-specific data, such as Tesla's stock fundamentals and key … supply chain players such as Albemarle and Panasonic Holdings Corporation, this paper uses a Q-Reinforcement Learning (Q …