Woojun Kim
12 papers · 2019–2026 · 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 ↓+5 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Keyword Champion
π
Grand Slam
ποΈ
Keyword Collector
(65)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
Top co-authors
Research topics
Reinforcement Learning
(10)
Methods
(9)
Artificial Intelligence
(7)
Core AI
(7)
Machine Learning
(6)
Learning Types Β· Machine Learning
(6)
Deep Learning
(4)
Learning Types Β· Deep Learning
(4)
Robotics
(3)
Applications
(3)
Capabilities
(3)
Architectures
(2)
Computer Vision
(1)
Analysis
(1)
Application Areas
(1)
Keywords
multi-agent reinforcement learning
(4)
offline reinforcement learning
(3)
deep reinforcement learning
(2)
reinforcement learning
(2)
informative path planning
(2)
imitation learning
(1)
supervised learning
(1)
visual observation
(1)
attention mechanism
(1)
collision avoidance
(1)
feature extraction
(1)
trajectory prediction
(1)
policy learning
(1)
domain randomization
(1)
value function
(1)
exploration-exploitation tradeoff
(1)
markov decision process
(1)
value iteration
(1)
ensemble learning
(1)
domain adaptation
(1)
Papers
DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning
L4DC 2026
OffRIPP: Offline RL-based Informative Path Planning
L4DC 2026
CARE: Enhancing Safety of Visual Navigation through Collision Avoidance via Repulsive Estimation
CoRL 2025
Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
NeurIPS 2024
Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making
ICLR 2024
An Adaptive Entropy-Regularization Framework for Multi-Agent Reinforcement Learning
ICML 2023
Domain Adaptive Imitation Learning with Visual Observation
NeurIPS 2023
LESSON: Learning to Integrate Exploration Strategies for Reinforcement Learning via an Option Framework
ICML 2023
Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents
NeurIPS 2023
MASER: Multi-Agent Reinforcement Learning with Subgoals Generated from Experience Replay Buffer
ICML 2022
Communication in Multi-Agent Reinforcement Learning: Intention Sharing
ICLR 2021
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning
AAAI 2019