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cs.LG2026
Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
Sunwoo Lee, Mingu Kang, Yonghyeon Jo +1
Cooperation is central to multi-agent reinforcement learning (MARL), yet learned coordination can be fragile when external perturbations disrupt inter-agent interactions. Prior rob…
cs.LG2026
Shaping Zero-Shot Coordination via State Blocking
Mingu Kang, Sunwoo Lee, Yonghyeon Jo +1
Zero-shot coordination (ZSC) aims to enable agents to cooperate with independently trained partners without prior interaction, a key requirement for real-world multi-agent systems…
cs.AI2026
Retaining Suboptimal Actions to Follow Shifting Optima in Multi-Agent Reinforcement Learning
Yonghyeon Jo, Sunwoo Lee, Seungyul Han
Value decomposition is a core approach for cooperative multi-agent reinforcement learning (MARL). However, existing methods still rely on a single optimal action and struggle to ad…