2 papers
math.OC2024
Stochastic Approximation and Brownian Repulsion based Evolutionary Search
Rajdeep Dutta, T Venkatesh Varma, Saikat Sarkar +4
Many global optimization algorithms of the memetic variety rely on some form of stochastic search, and yet they often lack a sound probabilistic basis. Without a recourse to the po…
cs.LG2024
Self-evolving Autoencoder Embedded Q-Network
J. Senthilnath, Bangjian Zhou, Zhen Wei Ng +7
In the realm of sequential decision-making tasks, the exploration capability of a reinforcement learning (RL) agent is paramount for achieving high rewards through interactions wit…