Stephen J Gleich, Randall Flick, Danqing Hu, Michael J Zaccariello, Robert C Colligan, Slavica K Katusic, Darrell R Schroeder, Andrew Hanson, Shonie Buenvenida, Robert T Wilder, Juraj Sprung, Robert G Voigt, Merle G Paule, John J Chelonis, David O Warner
Neurodevelopment of children exposed to anesthesia: design of the Mayo Anesthesia Safety in Kids (MASK) study
Contemporary clinical trials
since early 1960s paradigm learning automata la experienced abundant interest arguably also served foundation phenomenon field reinforcement learning rl decades new concepts fundamental principles introduced increase las speed accuracy include using probability updating functions discretizing probability space using pursuit concept recently concept incorporating structure ordering las actions improved speed accuracy corresponding hierarchical machines number actions large led optimal hierarchical continuous pursuit la hcpa article pioneers inclusion abovementioned phenomena new single la leading novel hierarchical discretized pursuit la hdpa indeed although previously proposed hcpa powerful speed impediment action probability close unity updates components probability vector correspondingly smaller action probability becomes closer unity propose novel hdpa infuse phenomenon discretization action probability vectors updating functionality invoked recursively every stage machines hierarchical structure discretized functionality possess impediment discretization prohibits demonstrate hdpas robustness validity formally proving optimality utilizing moderation property also invoke submartingale characteristic every level prove action probability optimal action converges unity time goes infinity apart new machine optimal numerical results demonstrate number iterations required convergence significantly reduced hdpa compared stateoftheart hcpa scheme