| Adapting the Tesseract open source OCR engine for multilingual OCR R Smith, D Antonova, DS Lee Proceedings of the International Workshop on Multilingual OCR, 2009 | 124 | 2009 |
| Reordering search query results in accordance with search context specific predicted performance functions Oztekin B., Antonova D., Dhamdhere K., Southey F., Mao Z. US Patent 8,645,390, 2014 | 53 | 2014 |
| Reinforcement learning for pivoting task R Antonova, S Cruciani, C Smith, D Kragic arXiv preprint arXiv:1703.00472, 2017 | 47 | 2017 |
| Bayesian optimization using domain knowledge on the ATRIAS biped A Rai, R Antonova, S Song, W Martin, H Geyer, C Atkeson 2018 IEEE International Conference on Robotics and Automation (ICRA), 1771-1778, 2018 | 32 | 2018 |
| Deep kernels for optimizing locomotion controllers R Antonova, A Rai, CG Atkeson Proceedings of the 1st Annual Conference on Robot Learning (CoRL), PMLR 78:47-56, 2017 | 24 | 2017 |
| Sample efficient optimization for learning controllers for bipedal locomotion R Antonova, A Rai, CG Atkeson Humanoid Robots (Humanoids), 2016 IEEE-RAS 16th International Conference on …, 2016 | 24 | 2016 |
| Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots A Rai, R Antonova, F Meier, CG Atkeson Journal of Machine Learning Research 20 (49), 1-24, 2019 | 17 | 2019 |
| Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation R Antonova, M Kokic, JA Stork, D Kragic Proceedings of the 2nd Annual Conference on Robot Learning (CoRL), PMLR 87 …, 2018 | 12 | 2018 |
| Benchmarking bimanual cloth manipulation I Garcia-Camacho, M Lippi, MC Welle, H Yin, R Antonova, A Varava, ... IEEE Robotics and Automation Letters 5 (2), 1111-1118, 2020 | 9 | 2020 |
| Automatically learning to teach to the learning objectives R Antonova, J Runde, MH Lee, E Brunskill Proceedings of the third (2016) ACM conference on learning@ scale, 317-320, 2016 | 8 | 2016 |
| Bayesian optimization in variational latent spaces with dynamic compression R Antonova, A Rai, T Li, D Kragic Proceedings of the 3rd Annual Conference on Robot Learning (CoRL) 100, 456--465, 2020 | 5 | 2020 |
| Variational Auto-Regularized Alignment for Sim-to-Real Control M Hwasser, D Kragic, R Antonova 2020 IEEE International Conference on Robotics and Automation (ICRA), 2732-2738, 2020 | 2 | 2020 |
| Unlocking the potential of simulators: Design with RL in mind R Antonova, S Cruciani The 3rd Multi-disciplinary Conference on Reinforcement Learning and Decision …, 2017 | 2 | 2017 |
| Benchmarking Unsupervised Representation Learning for Continuous Control R Antonova, S Devlin, K Hofmann, D Kragic Robotics Retrospectives Workshop at Robotics: Science and Systems (RSS) 2020, 0 | 2 | |
| Analytic Manifold Learning: Unifying and Evaluating Representations for Continuous Control R Antonova, M Maydanskiy, D Kragic, S Devlin, K Hofmann arXiv preprint arXiv:2006.08718, 2020 | 1 | 2020 |
| Sample Efficient Bayesian Optimization for Policy Search: Case Studies in Robotics and Education R Antonova Robotics Institute, Carnegie Mellon University, 2016 | 1 | 2016 |
| Sequential Topological Representations for Predictive Models of Deformable Objects R Antonova, A Varava, P Shi, JF Carvalho, D Kragic arXiv preprint arXiv:2011.11693, 2020 | | 2020 |
| Transfer-Aware Kernels, Priors and Latent Spaces from Simulation to Real Robots R Antonova KTH Royal Institute of Technology, 2020 | | 2020 |
| How to Sim2Real with Gaussian Processes: Prior Mean versus Kernels as Priors R Antonova, A Rai, D Kragic Sim2Real Workshop at Robotics: Science and Systems (RSS), 2020 | | 2020 |
| Hybrid Global Search for Sample Efficient Controller Optimization A Rai, R Antonova, D Kragic, CG Atkeson Prediction and Generative Modeling in Reinforcement Learning Workshop …, 2018 | | 2018 |
Danica KragicProfessor of Computer Science, KTH - Royal Institute of TechnologyVerified email at kth.se
