Oleh Rybkin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
4
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Value-Based Deep RL Scales Predictably. | Oleh Rybkin, Michal Nauman, Preston Fu, Charlie Victor Snell, Pieter Abbeel, Sergey Levine, Aviral Kumar |
| 2025 | ICML | Latent Diffusion Planning for Imitation Learning. | Amber Xie, Oleh Rybkin, Dorsa Sadigh, Chelsea Finn |
| 2024 | ICLR | Privileged Sensing Scaffolds Reinforcement Learning. | Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman |
| 2024 | ICLR | METRA: Scalable Unsupervised RL with Metric-Aware Abstraction. | Seohong Park, Oleh Rybkin, Sergey Levine |
| 2023 | ICLR | Planning Goals for Exploration. | Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman |
| 2022 | ICLR | Know Thyself: Transferable Visual Control Policies Through Robot-Awareness. | Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman |
| 2021 | ICML | Simple and Effective VAE Training with Calibrated Decoders. | Oleh Rybkin, Kostas Daniilidis, Sergey Levine |
| 2021 | ICML | Model-Based Reinforcement Learning via Latent-Space Collocation. | Oleh Rybkin, Chuning Zhu, Anusha Nagabandi, Kostas Daniilidis, Igor Mordatch, Sergey Levine |
| 2020 | CoRL | Reinforcement Learning with Videos: Combining Offline Observations with Interaction. | Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn |
| 2020 | ECCV | Toward Continuous-Time Representations of Human Motion. | Weiyu Du, Oleh Rybkin, Lingzhi Zhang, Jianbo Shi |
| 2020 | ECCV | Learning Predictive Models from Observation and Interaction. | Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn |
| 2020 | ICML | Planning to Explore via Self-Supervised World Models. | Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak |
| 2019 | ICLR | Learning what you can do before doing anything. | Oleh Rybkin, Karl Pertsch, Konstantinos G. Derpanis, Kostas Daniilidis, Andrew Jaegle |