11 citations · 11 across the 2 of their papers we have counts for
2 papers
eess.SY2023
Deep Reinforcement Learning Based Optimal Infinite-Horizon Control of Probabilistic Boolean Control Networks
Jingjie Ni, Fangfei Li, Zheng-Guang Wu
In this paper, a deep reinforcement learning based method is proposed to obtain optimal policies for optimal infinite-horizon control of probabilistic Boolean control networks (PBC…
quant-ph2022★ 11 cited
Robust optimization for quantum reinforcement learning control using partial observations
Chen Jiang, Yu Pan, Zheng-Guang Wu +2
The current quantum reinforcement learning control models often assume that the quantum states are known a priori for control optimization. However, full observation of quantum sta…