Skip to content
conftrace_

Youngwoon Lee

22 papers · 2019–2025 · 5 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 ↓ πŸ—ΊοΈ Taxonomy Completionist (28) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (13) πŸ‘₯ Mega-Team Β· Legion πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (97) πŸ”₯ Unstoppable Β· Bronze

Venues

CoRL (11) RSS (5) ICLR (3) NeurIPS (2) ICML (1)

Top co-authors

Joseph J Lim (8) Joseph J. Lim (7) Karl Pertsch (6) Pieter Abbeel (5) Shivin Dass (3) Kwanyoung Park (2) Glen Berseth (2) Jingyun Yang (2) Kirsty Ellis (2) Arhan Jain (2)

Research topics

Reinforcement Learning (17) Applications (13) Artificial Intelligence (11) Machine Learning (11) Methods (9) Core AI (8) Learning Types Β· Machine Learning (7) Robotics (4) Application Areas (4) Capabilities (4) Deep Learning (3) Learning Paradigms (3) Learning Types Β· Deep Learning (3) Optimization & Theory (1)

Keywords

robot manipulation (5) model-based reinforcement learning (4) imitation learning (4) reinforcement learning (3) motion planning (2) unsupervised learning (2) long-horizon planning (2) sample efficiency (2) policy training (2) skill transfer (2) transfer learning (1) path planning (1) policy optimization (1) domain adaptation (1) sequence modeling (1) offline reinforcement learning (1) multi-agent reinforcement learning (1) knowledge distillation (1) domain randomization (1) video prediction (1)

Papers

Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning ICLR 2025 RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies CoRL 2025 UniSkill: Imitating Human Videos via Cross-Embodiment Skill Representations CoRL 2025 DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing ICLR 2024 DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024 HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation RSS 2024 TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations CoRL 2024 Controllability-Aware Unsupervised Skill Discovery ICML 2023 FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation RSS 2023 Language-Conditioned Path Planning CoRL 2023 PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection RSS 2023 Video Prediction Models as Rewards for Reinforcement Learning NeurIPS 2023 Skill-based Model-based Reinforcement Learning CoRL 2022 Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization CoRL 2021 Demonstration-Guided Reinforcement Learning with Learned Skills CoRL 2021 Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation CoRL 2021 Generalizable Imitation Learning from Observation via Inferring Goal Proximity NeurIPS 2021 Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding RSS 2021 Accelerating Reinforcement Learning with Learned Skill Priors CoRL 2020 Learning to Coordinate Manipulation Skills via Skill Behavior Diversification ICLR 2020 Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments CoRL 2020 To Follow or not to Follow: Selective Imitation Learning from Observations CoRL 2019