Daniel D. Scherer
Orcid: 0000-0003-0355-4140
According to our database1,
Daniel D. Scherer
authored at least 20 papers
between 2020 and 2025.
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Collaborative distances:
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On csauthors.net:
Bibliography
2025
2024
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization.
CoRR, 2024
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Guided-SPSA: Simultaneous Perturbation Stochastic Approximation Assisted by the Parameter Shift Rule.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
J. Frankl. Inst., November, 2023
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-Based Gradients.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022
2020
High-Speed Collision Avoidance using Deep Reinforcement Learning and Domain Randomization for Autonomous Vehicles.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020