5 citations · 5 across the 1 of their papers we have counts for
3 papers
Curriculum-based Deep Reinforcement Learning for Quantum Control
Hailan Ma, Daoyi Dong, Steven X. Ding +1
Deep reinforcement learning has been recognized as an efficient technique to design optimal strategies for different complex systems without prior knowledge of the control landscap…
Gradient Monitored Reinforcement Learning
Mohammed Sharafath Abdul Hameed, Gavneet Singh Chadha, Andreas Schwung +1
This paper presents a novel neural network training approach for faster convergence and better generalization abilities in deep reinforcement learning. Particularly, we focus on th…
Fault-tolerant Coherent H-infinity Control for Linear Quantum Systems
Yanan Liu, Daoyi Dong, Ian R. Petersen +4
Robustness and reliability are two key requirements for developing practical quantum control systems. The purpose of this paper is to design a coherent feedback controller for a cl…