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cs.LG2026
Quantum Hierarchical Reinforcement Learning via Variational Quantum Circuits
Yu-Ting Lee, Samuel Yen-Chi Chen, Fu-Chieh Chang
While parameterized quantum computations have shown success in standard reinforcement learning (RL), whether these advantages adapt to hierarchical RL (HRL) remains a critical open…
cs.LG2025
Unveiling the Latent Directions of Reflection in Large Language Models
Fu-Chieh Chang, Yu-Ting Lee, Pei-Yuan Wu
Reflection, the ability of large language models (LLMs) to evaluate and revise their own reasoning, has been widely used to improve performance on complex reasoning tasks. Yet, mos…