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Sangjun Bae

2 accepted papers

2026

LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning

ICML 2026poster

Communication is a key component in multi-agent reinforcement learning (MARL) for mitigating partial observability, yet prior approaches often rely on inefficient information exchange or fail to transmit sufficient state information. To address this, we propose LLM-driven Multi-Agent Communication (…

Cited by 0SourceScholar
2026

Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning

ICLR 2026poster

Meta-reinforcement learning (Meta-RL) facilitates rapid adaptation to unseen tasks but faces challenges in long-horizon environments. Skill-based approaches tackle this by decomposing state-action sequences into reusable skills and employing hierarchical decision-making. However, these methods are h…

Cited by 0SourcecodeScholar