… This paper proposes a spectrum access algorithm (Feilin) based on federated deep
reinforcement … To guarantee the utility of SUs, the warranty contract is designed for SUs to obtain …

… In a further embodiment, for optimum warranty contract renewal reinforcement based neural
network technique is used primarily it has modules such as Agent 250, Actions (at) 255, …

… we rely on a particular category of deep learning models, denoted as memory augmented …
be trained just like any other deep network. In the context of consumer contracts, we define the …

Maintenance is of great importance for the safety and integrity of infrastructures. The expected
optimal maintenance policy in this study should be able to minimize system maintenance …

… In this context, the importance of studying more deeply the warranty issue is reinforced by …
warranty (EW) services for multiple consumers. The issue of drawing a maintenance contract …

… “Reproducibility of benchmarked deep reinforcement learning … “Deep reinforcement learning
that matters.” In Proceedings … The designer’s decision to expand or contract the horizon of a …

… Company-X also provides maintenance services to its customers as part of rental contracts
in PSS mode. One of the products X has a 36-month warranty, and the company is interested …

… warranty is either an implied or an express contract between the manufacturer and consumer.
Under this contract… And the third learning type is reinforcement training, which lies between …

… With this motivation, this paper presents a deep reinforcement learning framework for exploring
the cost-optimal condition-based maintenance policy while comparing four CBM policies …

… several ways to define the contract end date such as calendar … For ease of illustration, we
assume that the contract duration … performed during the maintenance service contract duration. …