| On identifiability in transformers G Brunner, Y Liu, D Pascual, O Richter, M Ciaramita, R Wattenhofer arXiv preprint arXiv:1908.04211, 2019 | 136* | 2019 |
| Teaching a machine to read maps with deep reinforcement learning G Brunner, O Richter, Y Wang, R Wattenhofer Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 31 | 2018 |
| Attentive multi-task deep reinforcement learning T Bräm, G Brunner, O Richter, R Wattenhofer Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 14 | 2019 |
| Normalized attention without probability cage O Richter, R Wattenhofer arXiv preprint arXiv:2005.09561, 2020 | 11 | 2020 |
| TreeConnect: A sparse alternative to fully connected layers O Richter, R Wattenhofer 2018 IEEE 30th International Conference on Tools with Artificial …, 2018 | 10 | 2018 |
| Local checkability in dynamic networks KT Foerster, O Richter, J Seidel, R Wattenhofer Proceedings of the 18th International Conference on Distributed Computing …, 2017 | 7 | 2017 |
| Using state predictions for value regularization in curiosity driven deep reinforcement learning G Brunner, M Fritsche, O Richter, R Wattenhofer 2018 IEEE 30th International Conference on Tools with Artificial …, 2018 | 5 | 2018 |
| Wikiflash: Generating flashcards from wikipedia articles Y Cheng, Y Ding, S Foucher, D Pascual, O Richter, M Volk, R Wattenhofer International Conference on Neural Information Processing, 138-149, 2021 | 3 | 2021 |
| Monaural music source separation using a resnet latent separator network G Brunner, N Naas, S Palsson, O Richter, R Wattenhofer 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 3 | 2019 |
| Neural symbolic music genre transfer insights G Brunner, M Moayeri, O Richter, R Wattenhofer, C Zhang Joint european conference on machine learning and knowledge discovery in …, 2019 | 3 | 2019 |
| Learning Policies through Quantile Regression O Richter, R Wattenhofer arXiv preprint arXiv:1906.11941, 2019 | 2 | 2019 |
| Improving brain decoding methods and evaluation D Pascual, B Egressy, N Affolter, Y Cai, O Richter, R Wattenhofer ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
| Unsupervised Task Clustering for Multi-task Reinforcement Learning J Ackermann, O Richter, R Wattenhofer Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 1 | 2021 |
| Learning Lower Bounds for Graph Exploration With Reinforcement Learning J Elmiger, L Faber, P Khanchandani, OP Richter, R Wattenhofer Learning Meets Combinatorial Algorithms at NeurIPS2020, 2020 | 1 | 2020 |
| The Frechet Distance of training and test distribution predicts the generalization gap J Zilly, H Zilly, O Richter, R Wattenhofer, A Censi, E Frazzoli | 1 | 2019 |
| Word2Course: Creating Interactive Courses from as Little as a Keyword. S Foucher, D Pascual, O Richter, R Wattenhofer CSEDU (1), 105-115, 2022 | | 2022 |
| Learning Algorithms with Self-Play: A New Approach to the Distributed Directory Problem P Khanchandani, O Richter, L Rusch, R Wattenhofer 2021 IEEE 33rd International Conference on Tools with Artificial …, 2021 | | 2021 |
| Tunnel Vision Attack on IMPALA-Questioning the Robustness of Reinforcement Learning Agents J Bolick, G Brunner, O Richter, R Wattenhofer Workshop on Safety and Robustness in Decision Making at the 33rd Conference …, 2019 | | 2019 |
| Quantile Regression Reinforcement Learning with State Aligned Vector Rewards O Richter, R Wattenhofer | | 2018 |
| Automating Rigid Origami Design J Geiger, K Martinkus, O Richter, R Wattenhofer | | |
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