An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-Based Gradients. - Marco Wiedmann; Marc Hölle; Maniraman Periyasamy; Nico Meyer; Christian Ufrecht; Daniel D. Scherer; Axel Plinge; Christopher Mutschler (QCE, 2023)

Batch Quantum Reinforcement Learning. - Maniraman Periyasamy; Marc Hölle; Marco Wiedmann; Daniel D. Scherer; Axel Plinge; Christopher Mutschler (CoRR, 2023)

BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading. - Maniraman Periyasamy; Marc Hölle; Marco Wiedmann; Daniel D. Scherer; Axel Plinge; Christopher Mutschler (IJCNN, 2024)