Oleh Rybkin

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Suautori

Kostas DaniilidisRuth Yalom Stone Professor of Computer and Information Science, University of PennsylvaniaPotvrđena adresa e-pošte na cis.upenn.edu
Sergey LevineUC Berkeley, GooglePotvrđena adresa e-pošte na eecs.berkeley.edu
Karl PertschUC Berkeley, Stanford UniversityPotvrđena adresa e-pošte na berkeley.edu
Chelsea FinnStanford University, GooglePotvrđena adresa e-pošte na cs.stanford.edu
Deepak PathakAssistant Professor, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Danijar HafnerGoogle DeepMindPotvrđena adresa e-pošte na google.com
Andrew JaegleStaff Research Scientist, DeepMindPotvrđena adresa e-pošte na google.com
Konstantinos G. DerpanisYork University and Samsung AI Centre TorontoPotvrđena adresa e-pošte na eecs.yorku.ca
Dinesh JayaramanAssistant Professor, University of PennsylvaniaPotvrđena adresa e-pošte na seas.upenn.edu
Karl SchmeckpeperUniversity of PennsylvaniaPotvrđena adresa e-pošte na seas.upenn.edu
Pieter AbbeelUC Berkeley | Covariant.AIPotvrđena adresa e-pošte na cs.berkeley.edu
Ramanan SekarQualcommPotvrđena adresa e-pošte na qti.qualcomm.com
Frederik EbertUC BerkeleyPotvrđena adresa e-pošte na berkeley.edu
Joseph J. LimAssociate Professor at KAISTPotvrđena adresa e-pošte na csail.mit.edu
Russell MendoncaCarnegie Mellon UniversityPotvrđena adresa e-pošte na andrew.cmu.edu
Edward S. HuPhD Student, University of PennsylvaniaPotvrđena adresa e-pošte na seas.upenn.edu
Igor MordatchGoogle DeepMindPotvrđena adresa e-pošte na google.com
Chuning ZhuUniversity of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
Edward GrefenstetteDirector of Research, Google DeepMind | Honorary Professor, UCLPotvrđena adresa e-pošte na google.com
Yingchen XuMeta AI Research; UCLPotvrđena adresa e-pošte na meta.com

Prati

Oleh Rybkin

Ostala imenaOleg Rybkin

Postdoc, University of California, Berkeley

Potvrđena adresa e-pošte na seas.upenn.edu - Početna stranica

Reinforcement Learning Predictive Models Deep Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Planning to Explore via Self-Supervised World Models R Sekar, O Rybkin, K Daniilidis, P Abbeel, D Hafner, D Pathak International Conference on Machine Learning (ICML), 2020	303	2020
Discovering and Achieving Goals with World Models R Mendonca, O Rybkin, K Daniilidis, D Hafner, D Pathak Neural Information Processing Systems (NeurIPS), 2021	79*	2021
Simple and Effective VAE Training with Calibrated Decoders O Rybkin, K Daniilidis, S Levine International Conference on Machine Learning (ICML), 2021	68	2021
Reinforcement Learning with Videos: Combining Offline Observations with Interaction K Schmeckpeper, O Rybkin, K Daniilidis, S Levine, C Finn Conference on Robot Learning (CoRL), 2020	64	2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors K Pertsch, O Rybkin, F Ebert, C Finn, D Jayaraman, S Levine Neural Information Processing Systems (NeurIPS), 2020	56	2020
Learning Predictive Models From Observation and Interaction K Schmeckpeper, A Xie, O Rybkin, S Tian, K Daniilidis, S Levine, C Finn European Conference on Computer Vision (ECCV), 2020	40	2020
Learning what you can do before doing anything O Rybkin, K Pertsch, KG Derpanis, K Daniilidis, A Jaegle International Conference on Learning representations (ICLR), 2019	28*	2019
Model-Based Reinforcement Learning via Latent-Space Collocation O Rybkin, C Zhu, A Nagabandi, K Daniilidis, I Mordatch, S Levine International Conference on Machine Learning (ICML), 2021	27	2021
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning K Pertsch, O Rybkin, J Yang, S Zhou, K Derpanis, J Lim, K Daniilidis, ... Conference on Learning for Dynamics and Control (L4DC), 2020	27*	2020
Planning Goals for Exploration ES Hu, R Chang, O Rybkin, D Jayaraman arXiv preprint arXiv:2303.13002, 2023	9	2023
Transferable Visual Control Policies Through Robot-Awareness ES Hu, K Huang, O Rybkin, D Jayaraman International Conference on Learning Representations (ICLR), 2022	5*	2022
Learning General World Models in a Handful of Reward-Free Deployments Y Xu, J Parker-Holder, A Pacchiano, P Ball, O Rybkin, S Roberts, ... Advances in Neural Information Processing Systems (NeurIPS) 35, 26820-26838, 2022	4	2022
Predicting the future with transformational states A Jaegle, O Rybkin, KG Derpanis, K Daniilidis arXiv preprint arXiv:1803.09760, 2018	3	2018
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction S Park, O Rybkin, S Levine arXiv preprint arXiv:2310.08887, 2023		2023
Learning to Act From Diverse Data Sources via World Models O Rybkin University of Pennsylvania, 2023		2023
Toward Continuous-Time Representations of Human Motion W Du, O Rybkin, L Zhang, J Shi ECCV Workshops, 2020		2020
Robust Focal Length Computation O Rybkin Czech Technical University in Prague, 2017		2017

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