| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 1114 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 216 | 2024 |
| Human-timescale adaptation in an open-ended task space J Bauer, K Baumli, F Behbahani, A Bhoopchand, N Bradley-Schmieg, ... International Conference on Machine Learning, 1887-1935, 2023 | 83* | 2023 |
| Policy Manifold Search: Exploring the Manifold Hypothesis for Diversity-based Neuroevolution N Rakicevic, A Cully, P Kormushev Proceedings of the 2021 Genetic and Evolutionary Computation Conference, 2021 | 37 | 2021 |
| Human-level Atari 200x faster S Kapturowski, V Campos, R Jiang, N Rakićević, H van Hasselt, ... arXiv preprint arXiv:2209.07550, 2022 | 26 | 2022 |
| ResQbot 2.0: An Improved Design of a Mobile Rescue Robot with an Inflatable Neck Securing Device for Safe Casualty Extraction RP Saputra, N Rakicevic, I Kuder, J Bilsdorfer, A Gough, A Dakin, ... Applied Sciences 11 (12), 5414, 2021 | 16 | 2021 |
| Active learning via informed search in movement parameter space for efficient robot task learning and transfer N Rakicevic, P Kormushev Autonomous Robots 43 (8), 1917-1935, 2019 | 15 | 2019 |
| Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data RP Saputra, N Rakicevic, P Kormushev 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 | 11 | 2019 |
| Hierarchical Decomposed-Objective Model Predictive Control for Autonomous Casualty Extraction RP Saputra, N Rakicevic, D Chappell, K Wang, P Kormushev IEEE Access 9, 39656-39679, 2021 | 8 | 2021 |
| Efficient robot task learning and transfer via informed search in movement parameter space N Rakicevic, P Kormushev NIPS 2017 Workshop on Acting and Interacting in the Real World: Challenges …, 2017 | 5 | 2017 |
| Multi-modal neural conditional ordinal random fields for agreement level estimation N Rakicevic, O Rudovic, S Petridis, M Pantic 2016 23rd International Conference on Pattern Recognition (ICPR), 2228-2233, 2016 | 4 | 2016 |
| Neural conditional ordinal random fields for agreement level estimation N Rakicevic, O Rudovic, S Petridis, M Pantic 2015 International Conference on Affective Computing and Intelligent …, 2015 | 1 | 2015 |
| Parameter space abstractions for diversity-based policy search N Rakicevic Imperial College London, 2022 | | 2022 |
| Policy Manifold Search for Improving Diversity-based Neuroevolution N Rakicevic, A Cully, P Kormushev NeurIPS 2020 Beyond Backpropagation: Novel Ideas for Training Neural …, 2020 | | 2020 |
| Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data R Permana Saputra, N Rakicevic, P Kormushev arXiv e-prints, arXiv: 1908.03057, 2019 | | 2019 |
Petar KormushevImperial College London, Director of Robot Intelligence Lab在 imperial.ac.uk 的电子邮件经过验证
