Oleh Rybkin - RankMe

37 papers A* 12Misc 1Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Compute-Optimal Scaling for Value-Based Deep RL. CoRR Preston Fu, Oleh Rybkin, Zhiyuan Zhou, Michal Nauman, Pieter Abbeel, Sergey Levine, Aviral Kumar
2025	A*	`conf`	Latent Diffusion Planning for Imitation Learning. ICML Amber Xie, Oleh Rybkin, Dorsa Sadigh, Chelsea Finn
2025	J	`jnl`	Latent Diffusion Planning for Imitation Learning. CoRR Amber Xie, Oleh Rybkin, Dorsa Sadigh, Chelsea Finn
2025	J	`jnl`	Real-World Reinforcement Learning of Active Perception Behaviors. CoRR Edward S. Hu, Jie Wang, Xingfang Yuan, Fiona Luo, Muyao Li, Gaspard Lambrechts, Oleh Rybkin, Dinesh Jayaraman
2025	A*	`conf`	Value-Based Deep RL Scales Predictably. ICML Oleh Rybkin, Michal Nauman, Preston Fu, Charlie Victor Snell, Pieter Abbeel, Sergey Levine, Aviral Kumar
2025	J	`jnl`	Value-Based Deep RL Scales Predictably. CoRR Oleh Rybkin, Michal Nauman, Preston Fu, Charlie Snell, Pieter Abbeel, Sergey Levine, Aviral Kumar
2025	J	`jnl`	Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos. CoRR Weirui Ye, Fangchen Liu, Zheng Ding, Yang Gao, Oleh Rybkin, Pieter Abbeel
2024	A*	`conf`	METRA: Scalable Unsupervised RL with Metric-Aware Abstraction. ICLR Seohong Park, Oleh Rybkin, Sergey Levine
2024	A*	`conf`	Privileged Sensing Scaffolds Reinforcement Learning. ICLR Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman
2024	J	`jnl`	Privileged Sensing Scaffolds Reinforcement Learning. CoRR Edward S. Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman
2023	J	`jnl`	METRA: Scalable Unsupervised RL with Metric-Aware Abstraction. CoRR Seohong Park, Oleh Rybkin, Sergey Levine
2023	A*	`conf`	Planning Goals for Exploration. ICLR Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman
2023	J	`jnl`	Planning Goals for Exploration. CoRR Edward S. Hu, Richard Chang, Oleh Rybkin, Dinesh Jayaraman
2022	A*	`conf`	Know Thyself: Transferable Visual Control Policies Through Robot-Awareness. ICLR Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman
2022	A*	`conf`	Learning General World Models in a Handful of Reward-Free Deployments. NeurIPS Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen Roberts, Tim Rocktäschel, Edward Grefenstette
2022	J	`jnl`	Learning General World Models in a Handful of Reward-Free Deployments. CoRR Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen J. Roberts, Tim Rocktäschel, Edward Grefenstette
2021	A*	`conf`	Discovering and Achieving Goals via World Models. NeurIPS Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak
2021	J	`jnl`	Discovering and Achieving Goals via World Models. CoRR Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak
2021	J	`jnl`	Know Thyself: Transferable Visuomotor Control Through Robot-Awareness. CoRR Edward S. Hu, Kun Huang, Oleh Rybkin, Dinesh Jayaraman
2021	A*	`conf`	Model-Based Reinforcement Learning via Latent-Space Collocation. ICML Oleh Rybkin, Chuning Zhu, Anusha Nagabandi, Kostas Daniilidis, Igor Mordatch, Sergey Levine
2021	J	`jnl`	Model-Based Reinforcement Learning via Latent-Space Collocation. CoRR Oleh Rybkin, Chuning Zhu, Anusha Nagabandi, Kostas Daniilidis, Igor Mordatch, Sergey Levine
2021	A*	`conf`	Simple and Effective VAE Training with Calibrated Decoders. ICML Oleh Rybkin, Kostas Daniilidis, Sergey Levine
2020	—	`conf`	Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning. L4DC Karl Pertsch, Oleh Rybkin, Jingyun Yang, Shenghao Zhou, Konstantinos G. Derpanis, Kostas Daniilidis, Joseph J. Lim, Andrew Jaegle
2020	—	`conf`	Learning Predictive Models from Observation and Interaction. ECCV (20) Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn
2020	A*	`conf`	Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors. NeurIPS Karl Pertsch, Oleh Rybkin, Frederik Ebert, Shenghao Zhou, Dinesh Jayaraman, Chelsea Finn, Sergey Levine
2020	J	`jnl`	Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors. CoRR Karl Pertsch, Oleh Rybkin, Frederik Ebert, Chelsea Finn, Dinesh Jayaraman, Sergey Levine
2020	A*	`conf`	Planning to Explore via Self-Supervised World Models. ICML Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak
2020	J	`jnl`	Planning to Explore via Self-Supervised World Models. CoRR Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak
2020	Misc	`conf`	Reinforcement Learning with Videos: Combining Offline Observations with Interaction. CoRL Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn
2020	J	`jnl`	Reinforcement Learning with Videos: Combining Offline Observations with Interaction. CoRR Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn
2020	J	`jnl`	Simple and Effective VAE Training with Calibrated Decoders. CoRR Oleh Rybkin, Kostas Daniilidis, Sergey Levine
2020	—	`conf`	Toward Continuous-Time Representations of Human Motion. ECCV Workshops (6) Weiyu Du, Oleh Rybkin, Lingzhi Zhang, Jianbo Shi
2019	J	`jnl`	KeyIn: Discovering Subgoal Structure with Keyframe-based Video Prediction. CoRR Karl Pertsch, Oleh Rybkin, Jingyun Yang, Konstantinos G. Derpanis, Joseph J. Lim, Kostas Daniilidis, Andrew Jaegle
2019	J	`jnl`	Learning Predictive Models From Observation and Interaction. CoRR Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, Chelsea Finn
2019	—	`conf`	Learning what you can do before doing anything. ICLR (Poster) Oleh Rybkin, Karl Pertsch, Konstantinos G. Derpanis, Kostas Daniilidis, Andrew Jaegle
2018	J	`jnl`	Predicting the Future with Transformational States. CoRR Andrew Jaegle, Oleh Rybkin, Konstantinos G. Derpanis, Kostas Daniilidis
2018	J	`jnl`	Unsupervised Learning of Sensorimotor Affordances by Stochastic Future Prediction. CoRR Oleh Rybkin, Karl Pertsch, Andrew Jaegle, Konstantinos G. Derpanis, Kostas Daniilidis