https://community.mis.temple.edu/mis3535sec001fall2020/files/2020/09/Simulation-Intro-slides-week-4.pdf
We will play the simulation in week 4 (one run as the Director of Product Innovations) and week 12 (2 runs, both roles) The settings: Spectrum Sunglass Company The task: Implement and organizational wide change to adopt the process Critical Mass: convince up to 18 stakeholders (out of 20 or 90%) Change levels: 18 reusable levers
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf
This situation may occur because LFU and LRU learn only from one-step past and operate based on simple rules, while RL-based edge caching methods can be derived from the observed historical content demands and concentrate more on the reward that agents can earn rather than users’ requests.