| Quantum reinforcement learning for solving a stochastic frozen lake environment and the impact of quantum architecture choices TA Drăgan, M Monnet, CB Mendl, JM Lorenz arXiv preprint arXiv:2212.07932, 2022 | 10 | 2022 |
| Understanding the effects of data encoding on quantum-classical convolutional neural networks M Monnet, N Chaabani, TA Dragan, B Schachtner, JM Lorenz arXiv preprint arXiv:2405.03027, 2024 | 1 | 2024 |
| Quantum Multi-Agent Reinforcement Learning for Aerial Ad-hoc Networks TA Drăgan, A Tandon, C Strobel, JS Krauser, JM Lorenz arXiv preprint arXiv:2404.17499, 2024 | 1 | 2024 |
| Variational Quantum Circuit Design for Quantum Reinforcement Learning on Continuous Environments G Kruse, TA Dragan, R Wille, JM Lorenz arXiv preprint arXiv:2312.13798, 2023 | 1 | 2023 |
| Characteristics of quantum architectures in reinforcement learning applications TA Dragan | 1 | 2022 |
| Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks JGH Cobussen | | 2023 |
| Quantum Reinforcement Learning for Aerospace A Tandon, TA Drăgan | | 2023 |
| The Effect of Data Encoding on Quantum Convolutional Neural Networks N Chaabani, TA Dragan, JM Lorenz | | 2023 |
| Quantum Reinforcement Learning for Solving a Stochastic Frozen Lake Environment and the Impact of Architecture and Optimizer Choices TA Dragan, M Monnet, CB Mendl, JM Lorenz | | 2023 |
| Quantum Kernels and Applications TA Dragan | | 2022 |
