Rika Antonova
Rika Antonova
Verified email at stanford.edu - Homepage
Cited by
Cited by
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
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
Reinforcement learning for pivoting task
R Antonova, S Cruciani, C Smith, D Kragic
arXiv preprint arXiv:1703.00472, 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
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
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
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
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
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
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
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
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
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, 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
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
How to Sim2Real with Gaussian Processes: Prior Mean versus Kernels as Priors
R Antonova, A Rai, D Kragic
2nd Workshop on Closing the Reality Gap in Sim2Real Transfer for Robotics …, 2020
Sample Efficient Bayesian Optimization for Policy Search: Case Studies in Robotics and Education
R Antonova
Robotics Institute, Carnegie Mellon University, 2016
Learning Periodic Tasks from Human Demonstrations
J Yang, J Zhang, C Settle, A Rai, R Antonova, J Bohg
arXiv preprint arXiv:2109.14078, 2021
Dynamic Environments with Deformable Objects
R Antonova, P Shi, H Yin, Z Weng, DK Jensfelt
BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym
R Antonova, F Ramos, R Possas, D Fox
arXiv preprint arXiv:2107.04527, 2021
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