Oleh Rybkin

According to our database, Oleh Rybkin authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

METRA: Scalable Unsupervised RL with Metric-Aware Abstraction.

Seohong Park, Oleh Rybkin, Sergey Levine

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Privileged Sensing Scaffolds Reinforcement Learning.

Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Planning Goals for Exploration.

Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning General World Models in a Handful of Reward-Free Deployments.

Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen Roberts, Tim Rocktäschel, Edward Grefenstette

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Know Thyself: Transferable Visual Control Policies Through Robot-Awareness.

Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Know Thyself: Transferable Visuomotor Control Through Robot-Awareness.

Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman

CoRR, 2021

Discovering and Achieving Goals via World Models.

Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Model-Based Reinforcement Learning via Latent-Space Collocation.

Oleh Rybkin, Chuning Zhu, Anusha Nagabandi, Kostas Daniilidis, Igor Mordatch, Sergey Levine

Proceedings of the 38th International Conference on Machine Learning, 2021

Simple and Effective VAE Training with Calibrated Decoders.

Oleh Rybkin, Kostas Daniilidis, Sergey Levine

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors.

Karl Pertsch, Oleh Rybkin, Frederik Ebert, Chelsea Finn, Dinesh Jayaraman, Sergey Levine

CoRR, 2020

Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors.

Karl Pertsch, Oleh Rybkin, Frederik Ebert, Shenghao Zhou, Dinesh Jayaraman, Chelsea Finn, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning.

Karl Pertsch, Oleh Rybkin, Jingyun Yang, Shenghao Zhou, Konstantinos G. Derpanis, Kostas Daniilidis, Joseph J. Lim, Andrew Jaegle

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Planning to Explore via Self-Supervised World Models.

Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Predictive Models from Observation and Interaction.

Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn

Proceedings of the Computer Vision - ECCV 2020, 2020

Toward Continuous-Time Representations of Human Motion.

Weiyu Du, Oleh Rybkin, Lingzhi Zhang, Jianbo Shi

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Reinforcement Learning with Videos: Combining Offline Observations with Interaction.

Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn

Proceedings of the 4th Conference on Robot Learning, 2020

2019

KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction.

Karl Pertsch, Oleh Rybkin, Jingyun Yang, Konstantinos G. Derpanis, Joseph J. Lim, Kostas Daniilidis, Andrew Jaegle

CoRR, 2019

Learning what you can do before doing anything.

Oleh Rybkin, Karl Pertsch, Konstantinos G. Derpanis, Kostas Daniilidis, Andrew Jaegle

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction.

Oleh Rybkin, Karl Pertsch, Andrew Jaegle, Konstantinos G. Derpanis, Kostas Daniilidis

CoRR, 2018

Predicting the Future with Transformational States.

Andrew Jaegle, Oleh Rybkin, Konstantinos G. Derpanis, Kostas Daniilidis

CoRR, 2018