Oleh Rybkin
16 papers · 2019–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(79)
π
Trend Setter
π
Conference Pioneer
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Artificial Intelligence
(13)
Machine Learning
(11)
Core AI
(11)
Reinforcement Learning
(7)
Learning Types Β· Machine Learning
(7)
Deep Learning
(6)
Methods
(6)
Applications
(5)
Learning Types Β· Deep Learning
(5)
Core Methods
(3)
Learning Paradigms
(3)
Computer Vision
(2)
Robotics
(2)
Application Areas
(2)
Capabilities
(2)
Keywords
world model
(5)
reinforcement learning
(4)
model-based reinforcement learning
(4)
latent space
(3)
robotic manipulation
(2)
zero-shot learning
(2)
latent space planning
(2)
variational autoencoder
(2)
visual planning
(2)
self-supervised exploration
(2)
latent variable model
(2)
goal-conditioned reinforcement learning
(2)
representation learning
(2)
domain adaptation
(1)
transfer learning
(1)
few-shot learning
(1)
sequence modeling
(1)
active learning
(1)
semi-supervised learning
(1)
trajectory prediction
(1)
Papers
Latent Diffusion Planning for Imitation Learning
ICML 2025
Value-Based Deep RL Scales Predictably
ICML 2025
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
ICLR 2024
Privileged Sensing Scaffolds Reinforcement Learning
ICLR 2024
Planning Goals for Exploration
ICLR 2023
Know Thyself: Transferable Visual Control Policies Through Robot-Awareness
ICLR 2022
Learning General World Models in a Handful of Reward-Free Deployments
NeurIPS 2022
Discovering and Achieving Goals via World Models
NeurIPS 2021
Model-Based Reinforcement Learning via Latent-Space Collocation
ICML 2021
Simple and Effective VAE Training with Calibrated Decoders
ICML 2021
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning
L4DC 2020
Learning Predictive Models from Observation and Interaction
ECCV 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
NeurIPS 2020
Planning to Explore via Self-Supervised World Models
ICML 2020
Reinforcement Learning with Videos: Combining Offline Observations with Interaction
CoRL 2020
Learning what you can do before doing anything
ICLR 2019