… learning (DRL) is a powerful machine learning tool to deal with discrete decision-making
problems, we provide a DRL-based solution, in which an agent … on mixed numerology and mini-…

… The experimental results show that it is both numerology-… and establish a mixed strategy,
a deep learning approach is … , a deep reinforcement learning agent able to solve the radio …

… The proposed algorithm combines various tools from Game Theory, Deep-Q learning …
Our game G is a finite game, hence, it is guaranteed to have a mixed NE. Mixed NE can be …

… On the other hand, the concept of numerology has been practiced for a very long time to …
Whilst there is limited literature available on the use of numerology in the commercial world, …

… numerology involves retraining all MADRL agents. In addition, they only considered 4 types
of traffic, ie, high UL, high DL, low UL, and low DL, which implies the need to know the traffic …

… In fact, I think that, as you learn about Pythagoras and his tradition, you’ll find that there are
many similarities between it and the tradition of witchcraft. Pythagoras was an ancient Greek …

… NUMEROLOGY IS the science of numbers. So are arithmetic and statistics. But there is a
difference. While numerology … and other branches of occult learning, arithmetic, statistics, etc. …

… The physician was to mix all of these ingredients together and add BLOOD of the patient. …
The Carmelite had traveled in the East and claimed to learn the secret there. The powder was …

… help of deep reinforcement learning to achieve flexible resource … low latency communication
by mixed numerologies and mini-… RL is mainly used by the agent to find the corresponding …

… I am also grateful to my literary agent Susan Mears … learn how to do this work so I could
share it with others back in the United Kingdom. Frank had given us (students in his Numerology …