Obserwuj
Oleh Rybkin
Tytuł
Cytowane przez
Cytowane przez
Rok
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
4802020
Discovering and Achieving Goals with World Models
R Mendonca*, O Rybkin*, K Daniilidis, D Hafner, D Pathak
Neural Information Processing Systems (NeurIPS), 2021
139*2021
Simple and Effective VAE Training with Calibrated Decoders
O Rybkin, K Daniilidis, S Levine
International Conference on Machine Learning (ICML), 2021
1162021
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
1052020
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
862020
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
602020
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
532021
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
38*2020
Metra: Scalable unsupervised rl with metric-aware abstraction
S Park, O Rybkin, S Levine
International Conference on Learning Representations (ICLR), 2024
372024
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
34*2019
Planning goals for exploration
ES Hu, R Chang, O Rybkin, D Jayaraman
International Conference on Learning Representations (ICLR), 2023
332023
Transferable Visual Control Policies Through Robot-Awareness
ES Hu, K Huang, O Rybkin, D Jayaraman
International Conference on Learning Representations (ICLR), 2022
15*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
112022
Privileged Sensing Scaffolds Reinforcement Learning
ES Hu, J Springer, O Rybkin, D Jayaraman
The Twelfth International Conference on Learning Representations, 2024
52024
Predicting the future with transformational states
A Jaegle, O Rybkin, KG Derpanis, K Daniilidis
arXiv preprint arXiv:1803.09760, 2018
32018
Video2Policy: Scaling up Manipulation Tasks in Simulation through Internet Videos
W Ye, F Liu, Z Ding, Y Gao, O Rybkin, P Abbeel
arXiv preprint arXiv:2502.09886, 2025
2025
Value-Based Deep RL Scales Predictably
O Rybkin, M Nauman, P Fu, C Snell, P Abbeel, S Levine, A Kumar
arXiv preprint arXiv:2502.04327, 2025
2025
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
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20