| A review of safe reinforcement learning: Methods, theory and applications S Gu, L Yang, Y Du, G Chen, F Walter, J Wang, A Knoll arXiv preprint arXiv:2205.10330, 2022 | 272 | 2022 |
| Neuromorphic implementations of neurobiological learning algorithms for spiking neural networks F Walter, F Röhrbein, A Knoll Neural Networks 72, 152-167, 2015 | 86 | 2015 |
| Computation by time F Walter, F Röhrbein, A Knoll Neural Processing Letters 44, 103-124, 2016 | 38 | 2016 |
| The coming decade of digital brain research-a vision for neuroscience at the intersection of technology and computing K Amunts, A Rowald, S Petkoski, MV Sanchez-Vives, M Axer, G De Bonis, ... Computational and Systems Neuroscience, 2022 | 24 | 2022 |
| Toward cognitive navigation: Design and implementation of a biologically inspired head direction cell network Z Bing, AEI Sewisy, G Zhuang, F Walter, FO Morin, K Huang, A Knoll IEEE Transactions on Neural Networks and Learning Systems 33 (5), 2147-2158, 2021 | 17 | 2021 |
| Lateral flexion of a compliant spine improves motor performance in a bioinspired mouse robot Z Bing, A Rohregger, F Walter, Y Huang, P Lucas, FO Morin, K Huang, ... Science Robotics 8 (85), eadg7165, 2023 | 14 | 2023 |
| Neuro-evolution of spiking neural networks on SpiNNaker neuromorphic hardware A Vandesompele, F Walter, F Röhrbein 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2016 | 11 | 2016 |
| Porting deep spiking q-networks to neuromorphic chip loihi M Akl, Y Sandamirskaya, F Walter, A Knoll International Conference on Neuromorphic Systems 2021, 1-7, 2021 | 10 | 2021 |
| A review of safe reinforcement learning: Methods, theory and applications. arXiv 2022 S Gu, L Yang, Y Du, G Chen, F Walter, J Wang, Y Yang, A Knoll arXiv preprint arXiv:2205.10330, 0 | 10 | |
| Toward robust and scalable deep spiking reinforcement learning M Akl, D Ergene, F Walter, A Knoll Frontiers in Neurorobotics 16, 1075647, 2023 | 8 | 2023 |
| Enhanced quadruped locomotion of a rat robot based on the lateral flexion of a soft actuated spine Y Huang, Z Bing, F Walter, A Rohregger, Z Zhang, K Huang, FO Morin, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 7 | 2022 |
| A Review of Safe Reinforcement Learning: Methods S Gu, L Yang, Y Du, G Chen, F Walter, J Wang, Y Yang, A Knoll Theory and Applications, 2022 | 7 | 2022 |
| Design of a biomimetic rodent robot P Lucas, F Walter, A Knoll | 7 | 2018 |
| A review of safe reinforcement learning: Methods, theory and applications. arXiv S Gu, L Yang, Y Du, G Chen, F Walter, J Wang, Y Yang, A Knoll arXiv preprint arXiv:2205.10330, 2022 | 6 | 2022 |
| Task-independent spiking central pattern generator: A learning-based approach E Aljalbout, F Walter, F Röhrbein, A Knoll Neural Processing Letters 51, 2751-2764, 2020 | 6 | 2020 |
| Neurorobotics–a unique opportunity for ground breaking research A Knoll, F Walter Chair of Robotics, Artificial Intelligence and Real-Time Systems, 2019 | 5 | 2019 |
| Fine-tuning deep reinforcement learning policies with r-stdp for domain adaptation M Akl, Y Sandamirskaya, D Ergene, F Walter, A Knoll Proceedings of the International Conference on Neuromorphic Systems 2022, 1-8, 2022 | 4 | 2022 |
| Towards a neuromorphic implementation of hierarchical temporal memory on SpiNNaker F Walter, M Sandner, F Röhrbein, A Knoll 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017 | 4 | 2017 |
| Multi-agent reinforcement learning for autonomous driving: A survey R Zhang, J Hou, F Walter, S Gu, J Guan, F Röhrbein, Y Du, P Cai, G Chen, ... arXiv preprint arXiv:2408.09675, 2024 | 3 | 2024 |
| Hebbian learning for online prediction, neural recall and classical conditioning of anthropomimetic robot arm motions B Feldotto, F Walter, F Röhrbein, A Knoll Bioinspiration & Biomimetics 13 (6), 066009, 2018 | 3 | 2018 |
