| Data-efficient hindsight off-policy option learning M Wulfmeier, D Rao, R Hafner, T Lampe, A Abdolmaleki, T Hertweck, ... International Conference on Machine Learning, 11340-11350, 2021 | 51 | 2021 |
| The challenges of exploration for offline reinforcement learning N Lambert, M Wulfmeier, W Whitney, A Byravan, M Bloesch, V Dasagi, ... arXiv preprint arXiv:2201.11861, 2022 | 40 | 2022 |
| Compositional Transfer in Hierarchical Reinforcement Learning M Wulfmeier, A Abdolmaleki, R Hafner, JT Springenberg, M Neunert, ... | 38 | 2019 |
| Towards general and autonomous learning of core skills: A case study in locomotion R Hafner, T Hertweck, P Klöppner, M Bloesch, M Neunert, M Wulfmeier, ... Conference on Robot Learning, 1084-1099, 2021 | 33 | 2021 |
| Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup D Schwab, T Springenberg, MF Martins, T Lampe, M Neunert, ... arXiv preprint arXiv:1902.04706, 2019 | 30 | 2019 |
| Regularized hierarchical policies for compositional transfer in robotics M Wulfmeier, A Abdolmaleki, R Hafner, JT Springenberg, M Neunert, ... arXiv preprint arXiv:1906.11228, 2019 | 30 | 2019 |
| Is curiosity all you need? on the utility of emergent behaviours from curious exploration O Groth, M Wulfmeier, G Vezzani, V Dasagi, T Hertweck, R Hafner, ... arXiv preprint arXiv:2109.08603, 2021 | 26 | 2021 |
| Disentangled cumulants help successor representations transfer to new tasks C Grimm, I Higgins, A Barreto, D Teplyashin, M Wulfmeier, T Hertweck, ... arXiv preprint arXiv:1911.10866, 2019 | 18 | 2019 |
| Representation matters: Improving perception and exploration for robotics M Wulfmeier, A Byravan, T Hertweck, I Higgins, A Gupta, T Kulkarni, ... 2021 IEEE International Conference on Robotics and Automation (ICRA), 6512-6519, 2021 | 17 | 2021 |
| Simple sensor intentions for exploration T Hertweck, M Riedmiller, M Bloesch, JT Springenberg, N Siegel, ... arXiv preprint arXiv:2005.07541, 2020 | 10 | 2020 |
| Skills: Adaptive skill sequencing for efficient temporally-extended exploration G Vezzani, D Tirumala, M Wulfmeier, D Rao, A Abdolmaleki, B Moran, ... arXiv preprint arXiv:2211.13743, 2022 | 6 | 2022 |
| Replay across Experiments: A Natural Extension of Off-Policy RL D Tirumala, T Lampe, JE Chen, T Haarnoja, S Huang, G Lever, B Moran, ... arXiv preprint arXiv:2311.15951, 2023 | 4 | 2023 |
| Mastering stacking of diverse shapes with large-scale iterative reinforcement learning on real robots T Lampe, A Abdolmaleki, S Bechtle, SH Huang, JT Springenberg, ... 2024 IEEE International Conference on Robotics and Automation (ICRA), 7772-7779, 2024 | 3 | 2024 |
| Less is more--the Dispatcher/Executor principle for multi-task Reinforcement Learning M Riedmiller, T Hertweck, R Hafner arXiv preprint arXiv:2312.09120, 2023 | 1 | 2023 |
| Training action selection neural networks using auxiliary tasks of controlling observation embeddings M Wulfmeier, T Hertweck, M Riedmiller US Patent App. 18/016,746, 2023 | 1 | 2023 |
| Preference Optimization as Probabilistic Inference A Abdolmaleki, B Piot, B Shahriari, JT Springenberg, T Hertweck, R Joshi, ... arXiv preprint arXiv:2410.04166, 2024 | | 2024 |
Martin RiedmillerDeepMindVerified email at google.com
