Abstract: In this article, a novel accelerated evolution-guided Q-learning (EGQL) algorithm is introduced to address optimal control problems for unknown nonlinear systems. A novel adaptive ...

turboquant-py implements the TurboQuant and QJL vector quantization algorithms from Google Research (ICLR 2026 / AISTATS 2026). It compresses high-dimensional floating-point vectors to 1-4 bits per ...

Abstract: Many-objective optimization problems are challenging and time-consuming, especially when the number of objectives is large. In this paper, an evolutionary algorithm inspired by quantum ...