In this paper we present results from the first use of neural networks for real-time control of the high temperature plasma in a tokamak fusion experiment. The tokamak is currentl...
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
— The use of higher-order functions, as a method of ion and re-use in EC encodings, has been the subject of relatively little research. In this paper we introduce and give motiva...
James McDermott, Jonathan Byrne, John Mark Swaffor...
: Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimizatio...
- In this paper, computational aspects of the panel aggregation problem are addressed. Motivated primarily by applications of risk assessment, an algorithm is developed for aggrega...
Joel B. Predd, Sanjeev R. Kulkarni, Daniel N. Oshe...