Schedules

This thesis explores reinforcement learning (RL) based approaches to create adaptive Medium Access Control (MAC) protocols that learn from past transmission history. As apposed to canonical RL algorithms, a policy tree is used to represent both the decision space and the environ…

In the experimental analysis of behavior, response allocation is typically studied under concurrent interval schedules, with two response alternatives, in a static environment. The natural environment of the unfettered organism, however, is dynamic insofar as even frequently vis…

In smart manufacturing systems, production scheduling, maintenance decision-making, and process monitoring are three key, closely interconnected components, which play significant roles in the system performance, quality control, and overall cost. Due to the rapid advancement of…