| Recurrent ladder networks I Prémont-Schwarz, A Ilin, T Hao, A Rasmus, R Boney, H Valpola Advances in neural information processing systems 30, 2017 | 33 | 2017 |
| Semi-supervised few-shot learning with prototypical networks R Boney, A Ilin CoRR abs/1711.10856, 2017 | 29 | 2017 |
| Regularizing model-based planning with energy-based models R Boney, J Kannala, A Ilin Conference on Robot Learning, 182-191, 2020 | 26 | 2020 |
| Semi-supervised few-shot learning with MAML R Boney, A Ilin | 18 | 2018 |
| Semi-supervised and active few-shot learning with prototypical networks R Boney, A Ilin arXiv preprint arXiv:1711.10856, 2017 | 13 | 2017 |
| Regularizing trajectory optimization with denoising autoencoders R Boney, N Di Palo, M Berglund, A Ilin, J Kannala, A Rasmus, H Valpola Advances in Neural Information Processing Systems 32, 2019 | 11 | 2019 |
| Recurrent ladder networks A Ilin, I Prémont-Schwarz, TH Hao, A Rasmus, R Boney, H Valpola arXiv preprint arXiv:1707.09219 3 (6), 2017 | 11 | 2017 |
| Learning to drive small scale cars from scratch A Viitala, R Boney, J Kannala arXiv preprint arXiv: 2008.00715, 2020 | 6* | 2020 |
| Learning to Play Imperfect-Information Games by Imitating an Oracle Planner R Boney, A Ilin, J Kannala, J Seppänen IEEE Transactions on Games 14 (2), 262-272, 2021 | 3 | 2021 |
| Active one-shot learning with Prototypical Networks. R Boney, A Ilin ESANN, 2019 | 3 | 2019 |
| Adaptive behavior cloning regularization for stable offline-to-online reinforcement learning Y Zhao, R Boney, A Ilin, J Kannala, J Pajarinen arXiv preprint arXiv:2210.13846, 2022 | 2 | 2022 |
| End-to-End Learning of Keypoint Representations for Continuous Control from Images R Boney, A Ilin, J Kannala arXiv preprint arXiv:2106.07995, 2021 | 2 | 2021 |
| RealAnt: An Open-Source Low-Cost Quadruped for Research in Real-World Reinforcement Learning R Boney, J Sainio, M Kaivola, A Solin, J Kannala arXiv preprint arXiv:2011.03085, 2020 | 2 | 2020 |
| Learning of feature points without additional supervision improves reinforcement learning from images R Boney, A Ilin, J Kannala arXiv preprint arXiv:2106.07995, 2021 | 1 | 2021 |
| Sample-Efficient Methods for Real-World Deep Reinforcement Learning R Boney Aalto University, 2022 | | 2022 |
| Fast Adaptation of Neural Networks R Boney | | 2018 |
Alexander IlinAalto UniversityZweryfikowany adres z aalto.fi
