Qing‐Shan Jia

Quantum Reinforcement Learning for Multi-Armed Bandits

2022 · 2022 41st Chinese Control Conference (CCC)

This work focuses on the multi-armed bandits (MAB) problem and proposes a quantum reinforcement learning (RL) algorithm for action selection. Existing quantum RL algorithms generally assume that some prior information about the optimal action is …

An OCBA-Based Information Sharing Method for Multi-Agent Reinforcement Learning

2024

Recent technological advancements in renewable energy generation, fuel cells, and energy storage systems have intensified research interest in supply-demand matching within smart grids. This challenge often involves hundreds of thousands of agents making real-time decisions. …