IEEE

Dynamic Heuristic Optimization in High-Order Runge–Kutta Schemes Using Reinforcement Learning and Genetic Algorithms

Abstract: This paper introduces a hybrid optimisation framework that integrates Genetic Algorithms (GAs) and Reinforcement Learning (RL) for the construction of high-order Runge–Kutta (RK) schemes.
IEEE

Deep Reinforcement Learning-Based Adaptive Nulling in Phased Array Under Dynamic Environments

Abstract: A phased array consists of multiple antenna elements that can control the direction of the radiated signal by adjusting each antenna element’s phase and amplitude, which are encapsulated in ...