4 accepted papers
Off-policy reinforcement learning suffers from extrapolation errors when a learned policy selects actions that are weakly supported in the replay buffer. In this study, we address this issue by drawing an analogy to static friction in classical mechanics. From this perspective, the replay buffer is …
The postoperative care of total joint replacement patients is of interest to healthcare practitioners due to the high number of annual replacements and growing economic burden on the U.S. healthcare system. Minimizing postoperative care costs and maximizing patients’ functional outcomes are the key
This letter presents a case study of workforce allocation in a gear assembly line at a motorcycle powertrain manufacturing plant. Through structural modeling of operators' work flow and part flow, assembly system models with different configurations are developed. Using iterative aggregation techniq
In a hospital's intensive care unit (ICU), multidisciplinary rounding (MDR) is a combination of care management with various healthcare providers from different clinical expertise meeting together to coordinate patient care, establish daily goals, and determine treatment plans. Such meetings require