Scholar
Woojun Kim
Google Scholar ID: bcHWCBoAAAAJ
Carnegie Mellon University
Reinforcement learning
Multi-agent system
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Citations & Impact
All-time
Citations
525
H-index
12
i10-index
13
Publications
20
Co-authors
23
list available
Publications
11 items
Overcoming Valid Action Suppression in Unmasked Policy Gradient Algorithms
2026
Cited
0
SCALAR: Learning and Composing Skills through LLM Guided Symbolic Planning and Deep RL Grounding
2026
Cited
0
Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization
2026
Cited
0
Theory of Mind Guided Strategy Adaptation for Zero-Shot Coordination
2026
Cited
0
Adaptively Coordinating with Novel Partners via Learned Latent Strategies
2025
Cited
0
Fair Cooperation in Mixed-Motive Games via Conflict-Aware Gradient Adjustment
2025
Cited
0
Modeling Latent Partner Strategies for Adaptive Zero-Shot Human-Agent Collaboration
2025
Cited
0
Enhancing Safety of Foundation Models for Visual Navigation through Collision Avoidance via Repulsive Estimation
2025
Cited
0
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Co-authors
16 total
Youngchul Sung
Professor, Electrical Engineering, KAIST
Katia Sycara
Professor School of Computer Science, Carnegie Mellon University
Whiyoung Jung
AI Scientist, LG AI Research
Jeonghye Kim
PhD candidate, KAIST
Simon Stepputtis
Virginia Tech
Xie Yaqi
Carnegie Mellon University
Jongeui Park
KAIST
Joseph Campbell
Purdue University
