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20232026
most citedQuantum Machine Learning Architecture Search via Deep Reinforcement Learning

5 citations · 9 across the 11 of their papers we have counts for

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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.AI2026

MADQRL: Distributed Quantum Reinforcement Learning Framework for Multi-Agent Environments

Abhishek Sawaika, Samuel Yen-Chi Chen, Udaya Parampalli +1

Reinforcement learning (RL) is one of the most practical ways to learn from real-life use-cases. Motivated from the cognitive methods used by humans makes it a widely acceptable st…