2 papers
cs.AI2026
APEX: Adaptive Principle EXtraction A Three-Layer Self-Evolution Framework for Production AI Agents
Ya-Chuan Chen, Tien-Jen Lai, Hsiang-Wei Hu
Self-improvement in AI agents has emerged as a key research frontier: systems that modify their own prompts, workflows, and decision rules based on accumulated operational experien…
quant-ph2025
Quantum Reinforcement Learning Trading Agent for Sector Rotation in the Taiwan Stock Market
Chi-Sheng Chen, Xinyu Zhang, Ya-Chuan Chen
We propose a hybrid quantum-classical reinforcement learning framework for sector rotation in the Taiwan stock market. Our system employs Proximal Policy Optimization (PPO) as the…