Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Abstract: This study addresses the optimal control problem for discrete-time nonlinear systems with fixed initial state. A fast policy iteration $(\text{PI})$ algorithm is developed to compute the ...

Abstract: This study explores the potential applications of dynamic programming in sampling inspection for evaluating supplier part quality, and discusses how it can be used to optimize production ...