Youngwoon Lee
22 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (5) π Academic Marathon (6) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (23)
πΊοΈ
Taxonomy Completionist
(23)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π₯
Mega-Team
(98)
π§¬
Topic Evolution
π¬
Deep Specialist
(12)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(74)
π₯
Unstoppable
(7)
π
Century Club
(22)
π
Trend Setter
Conferences
CORL (11)
RSS (5)
ICLR (3)
NIPS (2)
ICML (1)
Top co-authors
Research topics
Keywords
robot manipulation
(5)
imitation learning
(4)
reinforcement learning
(3)
motion planning
(2)
model-based reinforcement learning
(2)
policy training
(2)
long-horizon planning
(2)
skill transfer
(2)
adversarial learning
(1)
transfer learning
(1)
sample efficiency
(1)
domain adaptation
(1)
scalable learning
(1)
hierarchical learning
(1)
path planning
(1)
policy optimization
(1)
robot learning
(1)
domain randomization
(1)
knowledge distillation
(1)
video prediction
(1)
Papers
RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies
CORL 2025
Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning
ICLR 2025
UniSkill: Imitating Human Videos via Cross-Embodiment Skill Representations
CORL 2025
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
RSS 2024
TLDR: Unsupervised Goal-Conditioned RL via Temporal Distance-Aware Representations
CORL 2024
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
ICLR 2024
HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation
RSS 2024
Video Prediction Models as Rewards for Reinforcement Learning
NIPS 2023
Language-Conditioned Path Planning
CORL 2023
FurnitureBench: Reproducible Real-World Benchmark for Long-Horizon Complex Manipulation
RSS 2023
PATO: Policy Assisted TeleOperation for Scalable Robot Data Collection
RSS 2023
Controllability-Aware Unsupervised Skill Discovery
ICML 2023
Skill-based Model-based Reinforcement Learning
CORL 2022
Distilling Motion Planner Augmented Policies into Visual Control Policies for Robot Manipulation
CORL 2021
Generalizable Imitation Learning from Observation via Inferring Goal Proximity
NIPS 2021
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding
RSS 2021
Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization
CORL 2021
Demonstration-Guided Reinforcement Learning with Learned Skills
CORL 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