Oleh Rybkin

16 papers · 2019–2025 · 6 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (6)

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🗃️ Keyword Collector (50) 🚀 Conference Pioneer 📈 Trend Setter 💎 Century Club (16) 🔥 Unstoppable (7) ⚡ Prolific Year (5)

Conferences

ICLR (5) ICML (5) NIPS (3) CORL (1) ECCV (1) L4DC (1)

Top co-authors

Kostas Daniilidis (8) Sergey Levine (7) Chelsea Finn (4) Dinesh Jayaraman (4) Karl Pertsch (3) Edward S. Hu (3) Andrew Jaegle (2) Shenghao Zhou (2) Pieter Abbeel (2) Danijar Hafner (2)

Research topics

Computer Vision (1)

Keywords

reinforcement learning (3) model-based reinforcement learning (3) world model (3) zero-shot learning (2) robotic manipulation (2) latent variable model (2) latent space (2) self-supervised exploration (2) latent space planning (2) visual planning (2) trajectory prediction (1) sequence representation (1) self-supervised learning (1) video understanding (1) active learning (1) hierarchical planning (1) hyperparameter tuning (1) sequence modeling (1) offline learning (1) hierarchical model (1)

Papers

Value-Based Deep RL Scales Predictably ICML 2025 Latent Diffusion Planning for Imitation Learning 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 Learning General World Models in a Handful of Reward-Free Deployments NIPS 2022 Know Thyself: Transferable Visual Control Policies Through Robot-Awareness ICLR 2022 Simple and Effective VAE Training with Calibrated Decoders ICML 2021 Discovering and Achieving Goals via World Models NIPS 2021 Model-Based Reinforcement Learning via Latent-Space Collocation ICML 2021 Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning L4DC 2020 Reinforcement Learning with Videos: Combining Offline Observations with Interaction CORL 2020 Learning Predictive Models from Observation and Interaction ECCV 2020 Planning to Explore via Self-Supervised World Models ICML 2020 Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors NIPS 2020 Learning what you can do before doing anything ICLR 2019