High-Speed Collision Avoidance using Deep Reinforcement Learning and Domain Randomization for Autonomous Vehicles. - Georgios D. Kontes; Daniel D. Scherer; Tim Nisslbeck; Janina Fischer; Christopher Mutschler (ITSC, 2020)

Incremental Data-Uploading for Full-Quantum Classification. - Maniraman Periyasamy; Nico Meyer; Christian Ufrecht; Daniel D. Scherer; Axel Plinge; Christopher Mutschler (QCE, 2022)

A Survey on Quantum Reinforcement Learning. - Nico Meyer; Christian Ufrecht; Maniraman Periyasamy; Daniel D. Scherer; Axel Plinge; Christopher Mutschler (CoRR, 2022)

Quantum Policy Gradient Algorithm with Optimized Action Decoding. - Nico Meyer; Daniel D. Scherer; Axel Plinge; Christopher Mutschler; Michael J. Hartmann (ICML, 2023)

Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning. - Nico Meyer; Daniel D. Scherer; Axel Plinge; Christopher Mutschler; Michael J. Hartmann (QCE, 2023)

Workshop Summary: Quantum Machine Learning. - Volker Tresp; Steffen Udluft; Daniel Hein 001; Werner Hauptmann; Martin Leib; Christopher Mutschler; Daniel D. Scherer; Wolfgang Mauerer (QCE, 2023)

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)

Cutting multi-control quantum gates with ZX calculus. - Christian Ufrecht; Maniraman Periyasamy; Sebastian Rietsch; Daniel D. Scherer; Axel Plinge; Christopher Mutschler (Quantum, 2023)

Uncovering instabilities in variational-quantum deep Q-networks. - Maja Franz; Lucas Wolf; Maniraman Periyasamy; Christian Ufrecht; Daniel D. Scherer; Axel Plinge; Christopher Mutschler; Wolfgang Mauerer (J. Frankl. Inst., 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)

Warm-Start Variational Quantum Policy Iteration. - Nico Meyer; Jakob Murauer; Alexander Popov; Christian Ufrecht; Axel Plinge; Christopher Mutschler; Daniel D. Scherer (QCE, 2024)

Comprehensive Library of Variational LSE Solvers. - Nico Meyer; Martin Röhn; Jakob Murauer; Axel Plinge; Christopher Mutschler; Daniel D. Scherer (QCE, 2024)

Qiskit-Torch-Module: Fast Prototyping of Quantum Neural Networks. - Nico Meyer; Christian Ufrecht; Maniraman Periyasamy; Axel Plinge; Christopher Mutschler; Daniel D. Scherer; Andreas Maier 001 (QCE, 2024)

Guided-SPSA: Simultaneous Perturbation Stochastic Approximation Assisted by the Parameter Shift Rule. - Maniraman Periyasamy; Axel Plinge; Christopher Mutschler; Daniel D. Scherer; Wolfgang Mauerer (QCE, 2024)

Unitary Synthesis of Clifford+T Circuits with Reinforcement Learning. - Sebastian Rietsch; Abhishek Y. Dubey; Christian Ufrecht; Maniraman Periyasamy; Axel Plinge; Christopher Mutschler; Daniel D. Scherer (QCE, 2024)

SCIM MILQ: An HPC Quantum Scheduler. - Philipp Seitz; Manuel Geiger; Christian Ufrecht; Axel Plinge; Christopher Mutschler; Daniel D. Scherer; Christian B. Mendl (QCE, 2024)

Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization. - Nico Meyer; Julian Berberich; Christopher Mutschler; Daniel D. Scherer (CoRR, 2024)

Fourier Analysis of Variational Quantum Circuits for Supervised Learning. - Marco Wiedmann; Maniraman Periyasamy; Daniel D. Scherer (CoRR, 2024)

Benchmarking Quantum Reinforcement Learning. - Nico Meyer; Christian Ufrecht; George Yammine; Georgios D. Kontes; Christopher Mutschler; Daniel D. Scherer (CoRR, 2025)

Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks. - Alexander Mattick; Maniraman Periyasamy; Christian Ufrecht; Abhishek Y. Dubey; Christopher Mutschler; Axel Plinge; Daniel D. Scherer (CoRR, 2025)

Learning Encodings by Maximizing State Distinguishability: Variational Quantum Error Correction. - Nico Meyer; Christopher Mutschler; Andreas K. Maier; Daniel D. Scherer (CoRR, 2025)

CutReg: A loss regularizer for enhancing the scalability of QML via adaptive circuit cutting. - Maniraman Periyasamy; Christian Ufrecht; Daniel D. Scherer; Wolfgang Mauerer (CoRR, 2025)