3 papers
cs.CL2025
A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models
Shuyang Wang, Somayeh Moazeni, Diego Klabjan
Designing effective prompts is essential to guiding large language models (LLMs) toward desired responses. Automated prompt engineering aims to reduce reliance on manual effort by…
cs.LG2024
A Mirror Descent Perspective of Smoothed Sign Descent
Shuyang Wang, Diego Klabjan
Recent work by Woodworth et al. (2020) shows that the optimization dynamics of gradient descent for overparameterized problems can be viewed as low-dimensional dual dynamics induce…
q-fin.TR2023
An Ensemble Method of Deep Reinforcement Learning for Automated Cryptocurrency Trading
Shuyang Wang, Diego Klabjan
We propose an ensemble method to improve the generalization performance of trading strategies trained by deep reinforcement learning algorithms in a highly stochastic environment o…