2 papers
math.OC2026
Accelerating Evolutionary Strategy via Rao-Blackwellizing Realization of Uncertain Input
So Nakashima, Tetsuya J. Kobayashi
We investigate Optimization under Input Uncertainty (OIU), in which the input to the objective function, rather than the objective function itself, is subject to uncertainty. OIU a…
cs.LG2024
Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning
So Nakashima, Tetsuya J. Kobayashi
Reinforcement Learning (RL) offers a fundamental framework for discovering optimal action strategies through interactions within unknown environments. Recent advancement have shown…