Oleh Rybkin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Reinforcement Learning

Control Policies

Predictive Model

Top Venues

Publications

Seohong Park, Oleh Rybkin, Sergey Levine
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction. ICLR (2024)
Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman
Privileged Sensing Scaffolds Reinforcement Learning. ICLR (2024)
Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman
Privileged Sensing Scaffolds Reinforcement Learning. CoRR (2024)
Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman
Planning Goals for Exploration. ICLR (2023)
Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman
Planning Goals for Exploration. CoRR (2023)
Seohong Park, Oleh Rybkin, Sergey Levine
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction. CoRR (2023)
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)
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 (2022)
Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman
Know Thyself: Transferable Visual Control Policies Through Robot-Awareness. ICLR (2022)
Oleh Rybkin, Chuning Zhu, Anusha Nagabandi, Kostas Daniilidis, Igor Mordatch, Sergey Levine
Model-Based Reinforcement Learning via Latent-Space Collocation. CoRR (2021)
Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman
Know Thyself: Transferable Visuomotor Control Through Robot-Awareness. CoRR (2021)
Oleh Rybkin, Chuning Zhu, Anusha Nagabandi, Kostas Daniilidis, Igor Mordatch, Sergey Levine
Model-Based Reinforcement Learning via Latent-Space Collocation. ICML (2021)
Oleh Rybkin, Kostas Daniilidis, Sergey Levine
Simple and Effective VAE Training with Calibrated Decoders. ICML (2021)
Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak
Discovering and Achieving Goals via World Models. CoRR (2021)
Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak
Discovering and Achieving Goals via World Models. NeurIPS (2021)
Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn
Reinforcement Learning with Videos: Combining Offline Observations with Interaction. CoRL (2020)
Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn
Learning Predictive Models from Observation and Interaction. ECCV (20) (2020)
Karl Pertsch, Oleh Rybkin, Frederik Ebert, Chelsea Finn, Dinesh Jayaraman, Sergey Levine
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors. CoRR (2020)
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)
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)
Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn
Reinforcement Learning with Videos: Combining Offline Observations with Interaction. CoRR (2020)
Weiyu Du, Oleh Rybkin, Lingzhi Zhang, Jianbo Shi
Toward Continuous-Time Representations of Human Motion. ECCV Workshops (6) (2020)
Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak
Planning to Explore via Self-Supervised World Models. ICML (2020)
Oleh Rybkin, Kostas Daniilidis, Sergey Levine
Simple and Effective VAE Training with Calibrated Decoders. CoRR (2020)
Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak
Planning to Explore via Self-Supervised World Models. CoRR (2020)
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 (2019)
Oleh Rybkin, Karl Pertsch, Konstantinos G. Derpanis, Kostas Daniilidis, Andrew Jaegle
Learning what you can do before doing anything. ICLR (Poster) (2019)
Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn
Learning Predictive Models From Observation and Interaction. CoRR (2019)
Andrew Jaegle, Oleh Rybkin, Konstantinos G. Derpanis, Kostas Daniilidis
Predicting the Future with Transformational States. CoRR (2018)
Oleh Rybkin, Karl Pertsch, Andrew Jaegle, Konstantinos G. Derpanis, Kostas Daniilidis
Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction. CoRR (2018)