… mix rule-based behaviors and machine learning (ML) based adaptive approaches for different
types of agents … ) time-frequency resource block numerology. The spatial distribution of the …

… In [7], the authors formulated a stochastic mixed integer … The 3GPP 5G NR [10] supports
the numerology allowing us … of agent: Since we have a sparse reward function, the agent …

… Do you have to spend years learning how to master numerology? Will people … of numerology
and another type of numerology, called “Gematria.” Gematria taught that if the numerology …

… reinforcement learning INIaware agent … numerology and for every particular radio
resource allocated to each eMBB user. • We propose an optimization strategy called Mixednumerology …

… example) or numerological. It is not uncommon to find discussions of numerology in what we
… – a computus text calculating calendars, for example, may include a chapter on numerology.…

… Besides, the coexistence of mixed numerology in the same … and propose a Deep Reinforcement
Learning (DRL)-based … the single-agent MDP and the multi-agent MDP, respectively. …

… The authors formulate the EE optimization problem as a mixed … learning option across cognitive
agents (transfer learning), … In our simulations, we used the numerology 4 of standardized …

… it becomes increasingly clear that numerology lies at the heart … Numerology is only one of
many tools for communication, … to explicate a text in which numerology may or may not occur. I …

… , where agents have to carry out a cooperative task, learn what messages to send and whom
to address them to. An architecture to control when to communicate is proposed for mixed …

… Numerology is simple to learn and very engaging, like the … then to understand the “mixed
temperament” of double numbers. … In this book we are working with numbers as agents of the …