Uncovering instabilities in variational-quantum deep Q-networks
Work
Year: 2022
Type: article
Abstract: Deep Reinforcement Learning (RL) has considerably advanced over the past decade. At the same time, state-of-the-art RL algorithms require a large computational budget in terms of training time to conv... more
Institutions Regensburg University of Applied Sciences, Fraunhofer Institute for Integrated Circuits, Siemens (Germany)
Cites: 55
Cited by: 23
Related to: 10
FWCI: 3.321
Citation percentile (by year/subfield): 80.94
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Partnerships for the goals
Open Access status: hybrid
APC paid (est): $2,700