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ORCIDOleh Rybkin
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2020 – today
- 2024
[c15]Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman:
Privileged Sensing Scaffolds Reinforcement Learning. ICLR 2024- [c14]Seohong Park, Oleh Rybkin, Sergey Levine:
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction. ICLR 2024 - [i15]Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman:
Privileged Sensing Scaffolds Reinforcement Learning. CoRR abs/2405.14853 (2024) - 2023
- [c13]Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman:
Planning Goals for Exploration. ICLR 2023 - [i14]Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman:
Planning Goals for Exploration. CoRR abs/2303.13002 (2023) - [i13]Seohong Park, Oleh Rybkin, Sergey Levine:
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction. CoRR abs/2310.08887 (2023) - 2022
- [c12]Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman:
Know Thyself: Transferable Visual Control Policies Through Robot-Awareness. ICLR 2022 - [c11]Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen Roberts, Tim Rocktäschel, Edward Grefenstette:
Learning General World Models in a Handful of Reward-Free Deployments. NeurIPS 2022 - [i12]Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen J. Roberts, Tim Rocktäschel, Edward Grefenstette:
Learning General World Models in a Handful of Reward-Free Deployments. CoRR abs/2210.12719 (2022) - 2021
- [c10]Oleh Rybkin, Kostas Daniilidis, Sergey Levine:
Simple and Effective VAE Training with Calibrated Decoders. ICML 2021: 9179-9189 - [c9]Oleh Rybkin, Chuning Zhu, Anusha Nagabandi, Kostas Daniilidis, Igor Mordatch, Sergey Levine:
Model-Based Reinforcement Learning via Latent-Space Collocation. ICML 2021: 9190-9201 - [c8]Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak:
Discovering and Achieving Goals via World Models. NeurIPS 2021: 24379-24391 - [i11]Oleh Rybkin, Chuning Zhu, Anusha Nagabandi, Kostas Daniilidis, Igor Mordatch, Sergey Levine:
Model-Based Reinforcement Learning via Latent-Space Collocation. CoRR abs/2106.13229 (2021) - [i10]Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman:
Know Thyself: Transferable Visuomotor Control Through Robot-Awareness. CoRR abs/2107.09047 (2021) - [i9]Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak:
Discovering and Achieving Goals via World Models. CoRR abs/2110.09514 (2021) - 2020
- [c7]Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn:
Reinforcement Learning with Videos: Combining Offline Observations with Interaction. CoRL 2020: 339-354 - [c6]Weiyu Du, Oleh Rybkin, Lingzhi Zhang, Jianbo Shi:
Toward Continuous-Time Representations of Human Motion. ECCV Workshops (6) 2020: 543-548 - [c5]Karl Schmeckpeper
, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn:
Learning Predictive Models from Observation and Interaction. ECCV (20) 2020: 708-725 - [c4]Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak:
Planning to Explore via Self-Supervised World Models. ICML 2020: 8583-8592 - [c3]Karl Pertsch, Oleh Rybkin, Jingyun Yang, Shenghao Zhou, Konstantinos G. Derpanis, Kostas Daniilidis, Joseph J. Lim, Andrew Jaegle:
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning. L4DC 2020: 969-979 - [c2]Karl Pertsch, Oleh Rybkin, Frederik Ebert, Shenghao Zhou, Dinesh Jayaraman, Chelsea Finn, Sergey Levine:
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors. NeurIPS 2020 - [i8]Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak:
Planning to Explore via Self-Supervised World Models. CoRR abs/2005.05960 (2020) - [i7]Oleh Rybkin, Kostas Daniilidis, Sergey Levine:
Simple and Effective VAE Training with Calibrated Decoders. CoRR abs/2006.13202 (2020) - [i6]Karl Pertsch, Oleh Rybkin, Frederik Ebert, Chelsea Finn, Dinesh Jayaraman, Sergey Levine:
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors. CoRR abs/2006.13205 (2020) - [i5]Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn:
Reinforcement Learning with Videos: Combining Offline Observations with Interaction. CoRR abs/2011.06507 (2020)
2010 – 2019
- 2019
- [c1]Oleh Rybkin, Karl Pertsch, Konstantinos G. Derpanis, Kostas Daniilidis, Andrew Jaegle:
Learning what you can do before doing anything. ICLR (Poster) 2019 - [i4]Karl Pertsch, Oleh Rybkin, Jingyun Yang, Konstantinos G. Derpanis, Joseph J. Lim, Kostas Daniilidis, Andrew Jaegle:
KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction. CoRR abs/1904.05869 (2019) - [i3]Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn:
Learning Predictive Models From Observation and Interaction. CoRR abs/1912.12773 (2019) - 2018
- [i2]Andrew Jaegle, Oleh Rybkin, Konstantinos G. Derpanis, Kostas Daniilidis:
Predicting the Future with Transformational States. CoRR abs/1803.09760 (2018) - [i1]Oleh Rybkin, Karl Pertsch, Andrew Jaegle, Konstantinos G. Derpanis, Kostas Daniilidis:
Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction. CoRR abs/1806.09655 (2018)
Coauthor Index
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last updated on 2025-01-09 12:52 CET by the dblp team
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